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speech_to_text

Transcribe audio from a URL into text using ElevenLabs. Returns a task ID and output URLs for the transcript.

Instructions

Create a ElevenLabs task on RunAPI (speech to text). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_audio_urlNo
waitNoPoll until the task reaches a terminal status.
timeout_msNo
poll_interval_msNo
modelNoRunAPI model slug for this model line.
Behavior2/5

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

No annotations are provided, so the description must compensate. It mentions return values (task id, status, output URLs) but omits behavioral details like whether the operation is synchronous or requires polling (the 'wait' parameter is not described). No mention of permissions or 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.

Conciseness4/5

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

The description is a single, front-loaded sentence that efficiently states the tool's purpose and output. However, it could be considered too brief, lacking important context, but for conciseness it is appropriate.

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?

Given the complexity (5 parameters, no output schema, no annotations), the description is insufficient. It does not explain the asynchronous nature, polling behavior, or parameter usage. The tool cannot be used correctly without additional information.

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 40% (only 'wait' and 'model' have descriptions). The description adds no parameter information; for example, 'source_audio_url' is mentioned in the description but not explained. With low coverage, the description should compensate but fails to do so.

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

Purpose5/5

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

The description clearly states the tool's function: 'Create a ElevenLabs task on RunAPI (speech to text)'. It specifies the resource (ElevenLabs speech-to-text) and the action (create a task), distinguishing it from siblings like text_to_speech.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, when-not to use, or compare to siblings. Usage is only implied by the name and brief description.

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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