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Edit or strip metadata

edit_metadata

Set title, artist, album, comment or year tags, or strip all metadata (location, device, software) before sharing. Copies the streams without re-encoding, so quality is untouched. Cost: 1 credit flat. Long jobs return a job_id; poll it with get_job. Result links expire in 1 hour.

Input Schema

NameRequiredDescriptionDefault
urlYesSource file: public http(s) link
yearNo
albumNo
titleNo
artistNo
commentNo
strip_allNoRemove all existing metadata first

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that streams are copied without re-encoding (quality untouched), a flat cost of 1 credit, async behavior via job_id polled with get_job, and 1-hour link expiry. It omits any auth/permission requirements or confirmation that stripping is irreversible, hence not a 5.

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 purpose is front-loaded in the first sentence, followed by operational facts (encoding, cost, async, expiry). Four tight sentences with little waste, though the cost/expiry details could be grouped more cohesively.

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 and no annotations, so the description must cover the operational surface: it explains async job handling and result-link expiry, which is exactly what an agent needs to complete the call. Missing auth prerequisites and per-parameter format detail keep it just short of 5.

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 only 29% (url and strip_all documented), so the description must compensate. It lists the editable tags (title, artist, album, comment, year) and clarifies what 'strip' removes (location, device, software), but adds no format guidance (e.g. year as a string) beyond the field names.

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: setting named tags (title, artist, album, comment, year) or stripping all metadata, with the explicit goal 'before sharing'. An agent can distinguish it from compress_media or edit_video, though it does not name a sibling to route against.

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?

The phrase 'before sharing' implies the primary use case, giving implied context. However there is no explicit when-to-use/when-not guidance and no named alternative (e.g. vs. convert_media or process_audio), leaving selection to inference.

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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