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AIMFP

AIMFP

by aryanduntley
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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finalize_function

Finalize a reserved function to mark it as tracked, triggering interaction and type-function relationship checks.

Instructions

Mark a reserved function as tracked after writing it. Triggers interaction and type-function relationship checks.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "function_id": "<function_id>",
      "name": "<name>",
      "file_id": "<file_id>"
    },
    "name": "finalize_function"
  }
}

Input Schema

NameRequiredDescriptionDefault
function_idYesReserved function ID
nameYesFinal name with _idxx suffix
file_idYesFile ID
purposeNoFunction purpose
parametersNoFunction parameters
returnsNoReturn value specification
skip_id_namingNoIf true, skip _id_XX pattern validation (for functions where ID naming was skipped during reservation)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.37.0

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate it is not read-only and not destructive. The description adds behavioral context by stating it triggers 'interaction and type-function relationship checks,' but does not disclose what happens on failure, reversibility, or permissions needed. This adds some value but leaves gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences front-load the purpose and add a key side effect. No wasted words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (7 parameters, nested objects, no output schema), the description is minimal. It does not guide how to fill optional parameters like purpose or returns, nor explain the return behavior. Adequate but not fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all 7 parameters. The description does not add meaning beyond the schema, thus baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('mark a reserved function as tracked') and the resource ('function'), and mentions a side effect (triggers checks). It distinguishes from siblings like finalize_file or finalize_type by specifying the function context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides context ('after writing it') implying when to use, but does not explicitly state when not to use or contrast with alternatives among the many sibling finalize tools. The guidance is clear but lacks exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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