Support _meta in mcp_tool

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
62/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
api

Research direction

Start by tracing the @mcp_tool decorator and MCPToolContext handling for a tools/call request, then follow where request parameters are mapped into the context. Add coverage for the shown _meta payload and confirm that its fields are available through the context without losing existing headers or tool information.

Written by the indexing model from the issue text.

Description

Description
Currently, the @mcp_tool decorator only supports static metadata defined at registration. However, the MCP Protocol supports a _meta object within the tools/call request parameters. This field is essential for passing dynamic, request-scoped context.

In the current Azure Functions implementation, this _meta information is dropped and is not accessible via func.MCPToolContext.

Observed Behavior
When a client sends a tool call with a _meta block:

{ "method": "tools/call", "params": { "name": "get_job_appointment_details", "arguments": {}, "_meta": { "progressToken": 1, "tenant_id": "123", "user_id": "466", "appointment_id": "789" } } }
And the function is defined as:

@mcp_job.function_name("mcp_get_job_appointment_details")
@mcp_job.mcp_tool()
def get_job_appointment_details(context: func.MCPToolContext):

The context object contains transport headers and basic tool info, but the _meta fields (like tenant_id or appointment_id) are missing entirely from the payload.

Expected Behavior
The MCPToolContext should be updated to include a meta property (or similar) that captures the _meta object from the MCP request. This would allow developers to perform multi-tenant lookups or telemetry tracking based on the caller's specific context.

Dominant language
Python
Stars
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Forks
83
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