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AIMFP

AIMFP

by aryanduntley
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Python
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set_custom_return_statement

Idempotent

Add a custom return statement to a helper function, extending core return statements with user-defined guidance, context, or preferences. Delete the existing statement before setting a new one.

Instructions

Add a custom return statement for a helper function. Extends core return_statements with user-defined guidance, context, or preferences. To modify: delete first, then set new statement.

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": {
      "helper_name": "<helper_name>",
      "statement": "<statement>"
    },
    "name": "set_custom_return_statement"
  }
}

Input Schema

NameRequiredDescriptionDefault
helper_nameYesHelper function name (should match aimfp_core.db helper_functions.name)
statementYesCustom return statement text
descriptionNoWhy this was added (optional context)
activeNoWhether statement is active (default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.37.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations indicate idempotent=true and non-destructive. The description adds context about extending core return_statements and the modify-via-delete pattern, which is consistent and adds value 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: the first defines the core action, the second adds crucial usage instruction. Every sentence is essential, no fluff.

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?

The description lacks detail on what happens if the statement already exists (overwrite?) and does not mention return values. Given no output schema, this is a moderate gap for a simple set operation.

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% with all parameters described. The description does not add new meaning beyond the schema; it merely restates the parameter purpose, meeting the baseline for high coverage.

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 tool adds a custom return statement to a helper function, extending core return_statements. It distinguishes from the sibling 'delete_custom_return_statement' by implying the add operation and noting the modification pattern.

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 explicitly instructs 'To modify: delete first, then set new statement,' providing clear when-to-use guidance. However, it does not explicitly list alternatives beyond the delete tool, leaving room for improvement.

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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