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audio_denoise

Read-onlyIdempotent

Reduce background noise in audio client and server side from freedailypro -- FFT-based spectral subtraction

Input Schema

NameRequiredDescriptionDefault
fileBase64Yes
strengthDbNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds only the algorithm (FFT-based spectral subtraction) and says nothing about max input size, format constraints, or whether the denoised audio is returned as base64 — the operationally important details for this kind of tool.

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?

One sentence with the purpose front-loaded, which is good, but the phrase 'client and server side from freedailypro' is filler that dilutes the useful content. The description is short yet partially wasted.

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

Completeness2/5

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

Two undocumented parameters, no output schema, and no statement of what the tool returns or how large an input it accepts. For an audio transformation tool whose output must be conveyed back to the caller, this leaves significant unanswered questions.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, and it does not mention either parameter. fileBase64 and especially strengthDb (a dB value with a default of 20 and exclusiveMinimum 0) are left entirely unexplained — no units, no range guidance, no effect of higher vs lower values.

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 a specific verb+resource (reduce background noise in audio), which clearly distinguishes it from siblings like audio_normalize, audio_compress, or audio_remove_silence. The trailing 'client and server side from freedailypro' is vendor boilerplate that does not add clarity but does not obscure the purpose either.

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 indication of when to prefer this over audio_normalize, audio_compress, or audio_remove_silence, nor any prerequisites such as supported formats or size limits. The agent must guess at the boundary between denoising and related audio tools.

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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