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UAT: MCPToolResult.data typed as dict[str, Any] but MCP protocol returns content as a list — type mismatch causes Pydantic validation error with real MCP servers #2152

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opened 2026-04-03 04:28:27 +00:00 by freemo · 1 comment
freemo commented 2026-04-03 04:28:27 +00:00
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Metadata

  • Branch: fix/mcp-tool-result-data-type-mismatch
  • Commit Message: fix(mcp): widen MCPToolResult.data type to accept MCP 1.4.0 list content responses
  • Milestone: v3.7.0
  • Parent Epic: #399

Bug Report

Severity Assessment

  • Impact: High — all real MCP 1.4.0 server integrations will fail with a Pydantic ValidationError on every tool invocation. The mock transport masks this by returning a non-standard dict, so the bug is invisible in unit tests.
  • Likelihood: Certain — any deployment connecting MCPToolAdapter to a real MCP 1.4.0 server will hit this on the first invoke() call.
  • Priority: High

What Was Tested

Code-level analysis of MCPToolResult model definition and MCPToolAdapter.invoke() return value handling against the MCP 1.4.0 protocol specification.

Expected Behavior

MCPToolResult.data should be typed to accept the actual MCP 1.4.0 protocol response format. Per the MCP 1.4.0 spec, tool call results have content: list[TextContent | ImageContent | EmbeddedResource]. The field type should be widened to list[Any] | dict[str, Any] (or Any) to correctly handle both the mock protocol format (dict) and the real MCP protocol format (list).

Actual Behavior

# src/cleveragents/mcp/adapter.py, line 132
class MCPToolResult(BaseModel):
    data: dict[str, Any] = Field(default_factory=dict, ...)  # Wrong type!

In MCPToolAdapter.invoke():

# src/cleveragents/mcp/adapter.py, lines 523–527
return MCPToolResult(
    success=True,
    data=result.get("content", result),  # content is a list in real MCP 1.4.0!
    duration_ms=elapsed,
)

When a real MCP 1.4.0 server returns {"content": [{"type": "text", "text": "result"}]}, result.get("content", result) returns a list, and MCPToolResult(data=[...]) raises:

pydantic.ValidationError: 1 validation error for MCPToolResult
data
  value is not a valid dict (type=type_error.dict)

The mock transport in features/mocks/mock_mcp_transport.py (line 58) works around this by returning {"content": {"result": "ok"}} — a dict — which is not valid MCP 1.4.0 protocol. This masks the bug in all unit tests.

Code Locations

  • src/cleveragents/mcp/adapter.py, line 132: data: dict[str, Any] — incorrect type annotation
  • src/cleveragents/mcp/adapter.py, lines 523–527: data=result.get("content", result) — passes list to dict-typed field
  • features/mocks/mock_mcp_transport.py, line 58: mock returns dict content (non-standard, masks the bug)

Steps to Reproduce

  1. Connect MCPToolAdapter to a real MCP 1.4.0 server
  2. Call adapter.invoke("some_tool", {})
  3. Observe pydantic.ValidationError: value is not a valid dict when the server returns list content

Subtasks

  • Write a failing Behave scenario (@tdd_expected_fail) demonstrating that MCPToolResult(data=[{"type": "text", "text": "ok"}]) raises ValidationError with the current type
  • Write a failing Behave scenario demonstrating that MCPToolAdapter.invoke() raises ValidationError when the underlying transport returns {"content": [{"type": "text", "text": "ok"}]} (real MCP 1.4.0 format)
  • Update MCPToolResult.data type annotation from dict[str, Any] to list[Any] | dict[str, Any] in src/cleveragents/mcp/adapter.py line 132
  • Update the default_factory for MCPToolResult.data to be consistent with the widened type (e.g., keep dict as default or use a union-compatible default)
  • Update features/mocks/mock_mcp_transport.py line 58 to return {"content": [{"type": "text", "text": "mock result"}]} — a list — to match the real MCP 1.4.0 protocol format
  • Verify all existing Behave scenarios that reference MCPToolResult.data still pass after the type change
  • Update docs/api/mcp.md if the MCPToolResult.data field type is documented there (cross-check with #2118)
  • Run nox -e typecheck and confirm no Pyright errors introduced by the type widening
  • Run nox -e lint and confirm no lint errors
  • Run nox -e unit_tests and confirm all Behave scenarios pass
  • Run nox -e coverage_report and confirm coverage ≥ 97%

Definition of Done

  • MCPToolResult.data is typed as list[Any] | dict[str, Any] (or Any) in src/cleveragents/mcp/adapter.py
  • MCPToolAdapter.invoke() no longer raises ValidationError when a real MCP 1.4.0 server returns content as a list
  • features/mocks/mock_mcp_transport.py returns MCP 1.4.0-compliant list content (not a non-standard dict)
  • Failing Behave scenarios exist before implementation (TDD)
  • All Behave scenarios pass after the fix
  • docs/api/mcp.md updated if MCPToolResult.data type is documented there
  • No Pyright type errors (nox -e typecheck passes)
  • A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly (fix(mcp): widen MCPToolResult.data type to accept MCP 1.4.0 list content responses), followed by a blank line, then additional detail lines, ending with ISSUES CLOSED: #<this issue number>
  • The commit is pushed to the remote on the branch matching the Branch in Metadata exactly (fix/mcp-tool-result-data-type-mismatch)
  • The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done
  • All nox stages pass
  • Coverage >= 97%

Automated by CleverAgents Bot
Supervisor: UAT Testing | Agent: ca-new-issue-creator

## Metadata - **Branch**: `fix/mcp-tool-result-data-type-mismatch` - **Commit Message**: `fix(mcp): widen MCPToolResult.data type to accept MCP 1.4.0 list content responses` - **Milestone**: v3.7.0 - **Parent Epic**: #399 ## Bug Report ### Severity Assessment - **Impact**: High — all real MCP 1.4.0 server integrations will fail with a Pydantic `ValidationError` on every tool invocation. The mock transport masks this by returning a non-standard dict, so the bug is invisible in unit tests. - **Likelihood**: Certain — any deployment connecting `MCPToolAdapter` to a real MCP 1.4.0 server will hit this on the first `invoke()` call. - **Priority**: High ### What Was Tested Code-level analysis of `MCPToolResult` model definition and `MCPToolAdapter.invoke()` return value handling against the MCP 1.4.0 protocol specification. ### Expected Behavior `MCPToolResult.data` should be typed to accept the actual MCP 1.4.0 protocol response format. Per the MCP 1.4.0 spec, tool call results have `content: list[TextContent | ImageContent | EmbeddedResource]`. The field type should be widened to `list[Any] | dict[str, Any]` (or `Any`) to correctly handle both the mock protocol format (dict) and the real MCP protocol format (list). ### Actual Behavior ```python # src/cleveragents/mcp/adapter.py, line 132 class MCPToolResult(BaseModel): data: dict[str, Any] = Field(default_factory=dict, ...) # Wrong type! ``` In `MCPToolAdapter.invoke()`: ```python # src/cleveragents/mcp/adapter.py, lines 523–527 return MCPToolResult( success=True, data=result.get("content", result), # content is a list in real MCP 1.4.0! duration_ms=elapsed, ) ``` When a real MCP 1.4.0 server returns `{"content": [{"type": "text", "text": "result"}]}`, `result.get("content", result)` returns a list, and `MCPToolResult(data=[...])` raises: ``` pydantic.ValidationError: 1 validation error for MCPToolResult data value is not a valid dict (type=type_error.dict) ``` The mock transport in `features/mocks/mock_mcp_transport.py` (line 58) works around this by returning `{"content": {"result": "ok"}}` — a dict — which is not valid MCP 1.4.0 protocol. This masks the bug in all unit tests. ### Code Locations - `src/cleveragents/mcp/adapter.py`, line 132: `data: dict[str, Any]` — incorrect type annotation - `src/cleveragents/mcp/adapter.py`, lines 523–527: `data=result.get("content", result)` — passes list to dict-typed field - `features/mocks/mock_mcp_transport.py`, line 58: mock returns dict content (non-standard, masks the bug) ### Steps to Reproduce 1. Connect `MCPToolAdapter` to a real MCP 1.4.0 server 2. Call `adapter.invoke("some_tool", {})` 3. Observe `pydantic.ValidationError: value is not a valid dict` when the server returns list content ## Subtasks - [ ] Write a failing Behave scenario (`@tdd_expected_fail`) demonstrating that `MCPToolResult(data=[{"type": "text", "text": "ok"}])` raises `ValidationError` with the current type - [ ] Write a failing Behave scenario demonstrating that `MCPToolAdapter.invoke()` raises `ValidationError` when the underlying transport returns `{"content": [{"type": "text", "text": "ok"}]}` (real MCP 1.4.0 format) - [ ] Update `MCPToolResult.data` type annotation from `dict[str, Any]` to `list[Any] | dict[str, Any]` in `src/cleveragents/mcp/adapter.py` line 132 - [ ] Update the `default_factory` for `MCPToolResult.data` to be consistent with the widened type (e.g., keep `dict` as default or use a union-compatible default) - [ ] Update `features/mocks/mock_mcp_transport.py` line 58 to return `{"content": [{"type": "text", "text": "mock result"}]}` — a list — to match the real MCP 1.4.0 protocol format - [ ] Verify all existing Behave scenarios that reference `MCPToolResult.data` still pass after the type change - [ ] Update `docs/api/mcp.md` if the `MCPToolResult.data` field type is documented there (cross-check with #2118) - [ ] Run `nox -e typecheck` and confirm no Pyright errors introduced by the type widening - [ ] Run `nox -e lint` and confirm no lint errors - [ ] Run `nox -e unit_tests` and confirm all Behave scenarios pass - [ ] Run `nox -e coverage_report` and confirm coverage ≥ 97% ## Definition of Done - [ ] `MCPToolResult.data` is typed as `list[Any] | dict[str, Any]` (or `Any`) in `src/cleveragents/mcp/adapter.py` - [ ] `MCPToolAdapter.invoke()` no longer raises `ValidationError` when a real MCP 1.4.0 server returns `content` as a list - [ ] `features/mocks/mock_mcp_transport.py` returns MCP 1.4.0-compliant list content (not a non-standard dict) - [ ] Failing Behave scenarios exist before implementation (TDD) - [ ] All Behave scenarios pass after the fix - [ ] `docs/api/mcp.md` updated if `MCPToolResult.data` type is documented there - [ ] No Pyright type errors (`nox -e typecheck` passes) - [ ] A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly (`fix(mcp): widen MCPToolResult.data type to accept MCP 1.4.0 list content responses`), followed by a blank line, then additional detail lines, ending with `ISSUES CLOSED: #<this issue number>` - [ ] The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly (`fix/mcp-tool-result-data-type-mismatch`) - [ ] The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done - [ ] All nox stages pass - [ ] Coverage >= 97% --- **Automated by CleverAgents Bot** Supervisor: UAT Testing | Agent: ca-new-issue-creator
freemo added this to the v3.7.0 milestone 2026-04-03 04:28:32 +00:00
freemo self-assigned this 2026-04-03 16:58:00 +00:00
freemo commented 2026-04-03 18:27:28 +00:00
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MoSCoW classification: Must Have

Rationale: This issue addresses a core spec requirement or blocks critical functionality. The project cannot ship without this fix.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: ca-project-owner

MoSCoW classification: **Must Have** Rationale: This issue addresses a core spec requirement or blocks critical functionality. The project cannot ship without this fix. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: ca-project-owner
freemo removed this from the v3.7.0 milestone 2026-04-07 01:19:43 +00:00
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 A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$750
 A bounty of $750 for any open-source contributor who provides a MR that solves this issue

  
MoSCoW
Could have
 Could have feature in order to satisfy the epic/legendary.

  
MoSCoW
Must have
 Must have feature in order to satisfy the epic/legendary.

  
MoSCoW
Should have
 Should have feature in order to satisfy the epic/legendary.

  
Needs Feedback
There are questions in the ticket that can not be completed until the project owner provides clarity.

  
Points
1
 1 man-hours worth of work for an expert with no learning curve.

  
Points
13
 13 man-hours worth of work for an expert with no learning curve.

  
Points
2
 2 man-hours worth of work for an expert with no learning curve.

  
Points
21
 21 man-hours worth of work for an expert with no learning curve.

  
Points
3
 3 man-hours worth of work for an expert with no learning curve.

  
Points
34
 34 man-hours worth of work for an expert with no learning curve.

  
Points
5
 5 man-hours worth of work for an expert with no learning curve.

  
Points
55
 55 man-hours worth of work for an expert with no learning curve.

  
Points
8
 8 man-hours worth of work for an expert with no learning curve.

  
Points
88
 88 man-hours worth of work for an expert with no learning curve.

  
Priority
Backlog
 This ticket has backlogged priority and is not to be worked on yet

  
Priority
CI Blocker
 Critical priority issue that blocks CI/CD pipeline and prevents PR merges

  
Priority
Critical
 The priority is critical

  
Priority
High
 The priority is high

  
Priority
Low
 The priority is low

  
Priority
Medium
 The priority is medium

  
Signed-off: Owner
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Scrum Master
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Tech Lead
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Spike
A ticket for learning a tool or technology that is needed to be able to do future planning and design.

  
State
Completed
 The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  
State
Duplicate
 A ticket that represents the same content as an existing ticket.

  
State
In Progress
 A ticket that is actively being developed.

  
State
In Review
 A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  
State
Paused
 This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

  
State
Unverified
 All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

  
State
Verified
 The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

  
State
Wont Do
 This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

  
Type
Automation
 Any edits or discussion about the AI automated coding system.

  
Type
Bug
 Something that doesnt work as intended.

  
Type
Discussion
 Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

  
Type
Documentation
 An error or improvement needed in the documentation.

  
Type
Epic
 Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

  
Type
Feature
 Some new functionality not present.

  
Type
Legendary
 A type of Epic which will contain other Epics.

  
Type
Refactor
 A code change that restructures existing code without changing its external behavior.

  
Type
Support
 Someone needs help using the project.

  
Type
Task
 A generic task that doesnt fit into the other type categories.

  
Type
Testing
 Work exclusively focusing on fixing or expanding testing.

No labels
auto/needs-reevaluation
controller-managed
auto/blocked-by-deps
auto/ci-timeout
auto/claimed-implementer
auto/claimed-merge
auto/claimed-reviewer
auto/driver-down
auto/invariant-violation
auto/last-attempt-tier-0
auto/last-attempt-tier-1
auto/last-attempt-tier-2
auto/last-attempt-tier-min
Automation Tracking
auto/needs-conflict-resolution
auto/needs-implementer
auto/postmortem
auto/ready-to-merge
auto/restart-throttled
auto/revert
auto/sentinel
auto/stale-inactivity
auto/unstable
Blocked
Bounty
$100
Bounty
$1000
Bounty
$10000
Bounty
$20
Bounty
$2000
Bounty
$250
Bounty
$50
Bounty
$500
Bounty
$5000
Bounty
$750
MoSCoW
Could have
MoSCoW
Must have
MoSCoW
Should have
Needs Feedback
Points
1
Points
13
Points
2
Points
21
Points
3
Points
34
Points
5
Points
55
Points
8
Points
88
Priority
Backlog
Priority
CI Blocker
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
State
Completed
State
Duplicate
State
In Progress
State
In Review
State
Paused
State
Unverified
State
Verified
State
Wont Do
Type
Automation
Type
Bug
Type
Discussion
Type
Documentation
Type
Epic
Type
Feature
Type
Legendary
Type
Refactor
Type
Support
Type
Task
Type
Testing
Milestone
Clear milestone
No items
No milestone
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
freemo
1 participant
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Blocks
#399 Epic: Post-MVP Server & Clients
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#2152
No description provided.