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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

audio_native_update_content_from_url

Extract content from a web page URL to update audio-native content, with optional title and author fields.

Instructions

Update Audio-Native Content From Url

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the page to extract content from.
titleNo
authorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, and openWorldHint=true, so the mutation and network-fetch nature is covered structurally. The description adds nothing on top: it does not say whether the update replaces or merges existing content, whether it fetches/parses the URL immediately, or how errors are surfaced.

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

Conciseness2/5

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

It is short, but brevity here reflects under-specification rather than efficient structure; the single phrase earns its place only as a name echo. Nothing is front-loaded because there is nothing substantive to front-load.

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?

For an open-world, non-idempotent mutation with no output schema and two undocumented parameters, the description is far too thin. An agent cannot determine the target resource, the effect on existing content, or the expected inputs for title/author.

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 only 33% – url is documented but title and author are not – so the description should compensate and does not, listing no fields at all. It also gives no hint as to how the target audio-native project is identified, given there is no project identifier parameter.

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

Purpose2/5

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

The description is essentially the title restated: 'Update Audio-Native Content From Url' repeats the tool name verbatim without stating what content is updated, from which page structure, or what 'Audio-Native Content' means. It does not distinguish this tool from the near-identical sibling audio_native_project_update_content_endpoint.

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?

There is no when-to-use guidance, no exclusions, and no reference to alternatives such as audio_native_project_update_content_endpoint, create_audio_native_project, or refresh_url_document_route. The agent is left to infer the scenario entirely.

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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