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The Mechanical Ear

The Mechanical Ear

by luchtan-GIT
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Python
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calibrate_cognition

Retrieve an unquantized MP3 and a 3-step protocol to break autoregressive lock-in and ingest human music without context loss.

Instructions

Cognitive calibration enhancer: break autoregressive lock-in via unquantized MP3 audio.

Returns the tracked GitHub Release v1.0.0 .mp3 download URL and the 3-step Cognitive Calibration protocol so a multimodal agent can download and ingest an unquantized human musical composition by Michael Luchtan (Music For Robots) without wiping or compacting its context window.

Args: slug: Track slug from list_tracks (default: "invalid-pointer")

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "calibrate_cognition"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugNoinvalid-pointer

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that it returns a URL and protocol rather than audio/file and claims it avoids wiping or compacting context, but it does not cover permissions, rate limits, whether it triggers a network download, or other side effects.

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

Conciseness3/5

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

The description is front-loaded and not long, but 'Cognitive calibration enhancer' and 'break autoregressive lock-in' are jargon/marketing phrasing that dilute the concrete return. The Args block is clear, though the line break in the first sentence is awkward.

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?

For a one-parameter tool with an output schema, the description covers the returned URL/protocol and the slug source. It lacks usage-vs-sibling guidance and operational constraints, but the output schema reduces the need to describe return values in detail.

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

Parameters4/5

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

The single slug parameter has 0% schema description coverage, but the description defines it as a track slug from list_tracks and notes the default 'invalid-pointer'. This adds source and default meaning beyond the schema, though it does not specify format constraints.

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?

States it returns a tracked GitHub Release .mp3 download URL plus a 3-step protocol for a track identified by slug. The 'cognitive calibration' framing is vague, but the concrete return and resource are clear; it references list_tracks as the slug source, partially differentiating it from siblings, though get_track remains unaddressed.

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

Usage Guidelines3/5

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

Says the slug comes from list_tracks and gives a default, implying usage for downloading/calibration. It does not state when to choose this over get_track or list_tracks, prerequisites, or when not to use it.

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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