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AIMFP

AIMFP

by aryanduntley
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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toggle_tracking_feature

Enable or disable a specific tracking feature by name to control functional programming project tracking.

Instructions

Enable/disable tracking feature

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": {
      "feature_name": "<feature_name>",
      "enabled": "<enabled>"
    },
    "name": "toggle_tracking_feature"
  }
}

Input Schema

NameRequiredDescriptionDefault
feature_nameYesTracking feature name
enabledYesEnable or disable

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.37.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations are minimal (readOnlyHint=false). The description does not disclose side effects, such as whether changes are persistent, require confirmation, or affect running processes. For a tool that mutates state, more transparency is needed.

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

Conciseness4/5

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

The description is a single, clear sentence with no wasted words. It is appropriately concise for a simple toggle operation.

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 simplicity of the tool (two params, no output schema), the description is mostly complete. However, it lacks information about available feature names (e.g., enums) and the effect of toggling, which would be helpful for correctness.

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 descriptions already cover the meaning of 'feature_name' and 'enabled' with clarity. The description adds no additional information beyond what the schema provides, and schema coverage is 100%, so baseline 3 is appropriate.

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

Purpose4/5

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

The description 'Enable/disable tracking feature' clearly states the action (toggle) and resource (tracking feature). It is specific enough to distinguish from sibling tools like 'get_tracking_settings' which reads settings, but does not differentiate from other mutation tools.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. No mention of prerequisites, context, or when not to use it. The agent is left to infer usage from the name alone.

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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