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AIMFP

AIMFP

by aryanduntley
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Python
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finalize_functions

Batch-finalize reserved functions after writing. Triggers interaction and type-function checks for all functions in the batch.

Instructions

Batch-finalize multiple reserved functions after writing them. Triggers interaction and type-function checks for all.

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": {
      "functions": "<functions>"
    },
    "name": "finalize_functions"
  }
}

Input Schema

NameRequiredDescriptionDefault
functionsYesArray of function objects [{function_id, name, file_id, purpose, parameters, returns, skip_id_naming?}, ...]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.37.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations are minimal with readOnlyHint=false et al. The description adds value by stating it 'Triggers interaction and type-function checks for all,' which is behavioral context beyond annotations.

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 with no redundant information. Front-loaded with the primary purpose.

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

Completeness4/5

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

No output schema, but the description covers the key purpose and triggers. Could mention expected return value or error conditions, but adequate given tool complexity.

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?

The input schema already provides full description for the 'functions' parameter (100% coverage). The tool description does not add further meaning, so baseline 3 applies.

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 'Batch-finalize multiple reserved functions after writing them,' specifying the action (batch-finalize), the resource (reserved functions), and the context (after writing). It distinguishes from siblings like finalize_function (singular) and finalize_types.

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?

The description implies when to use (after writing reserved functions) but does not explicitly state when not to use or provide alternatives like finalize_function for single function finalization. Still, context is clear.

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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