tool_clone_voice_from_audio

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

With no annotations provided, the description fully carries the behavioral burden and delivers rich disclosure: the exact transformation pipeline (yt-dlp download -> ffmpeg slice [ts, tf] -> 24kHz mono 16-bit PCM WAV), validation behavior (providing both modes fails; omitting both fails), overwrite semantics, voice_name slugification, and precise failure reporting ('yt-dlp/ffmpeg failure will be reported in the raised RuntimeError'). It even discloses the full return-dict shape, which is essential given there is no output schema.

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

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

Long but exceellently structured: purpose line up front, mode blocks, numbered workflow, and error bullet list — highly scannable. Minor redundancy exists (the 5-30s ideal and 24kHz format appear multiple times across description and schema), but the length is proportionate to a 9-parameter, two-mode tool and every block serves a purpose.

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

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

For a high-complexity tool with no annotations and no output schema, this description is remarkably complete: it covers input modes, prerequisites, transformation side-effects, exact return keys, and all realistic failure modes. The only omissions (rate limits, timeouts) are minor for a local-file/URL pipeline, and the description compensates fully for the missing structured metadata.

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

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

Schema coverage is 100%, so the baseline is 3; the description still adds meaning beyond the per-property schema text by grouping parameters into modes (A: ref_audio_path; B: audio_url + ts + tf), sequencing them in a workflow ('Write the exact transcript in ref_text' before picking a name), and linking voice_name to downstream synthesize_speech calls. This cross-parameter framing helps an agent reason about parameter relationships without redundantly restating schema content.

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

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

Opens with a specific action verb and resource: 'Save a voice profile from a reference audio (5-30s WAV ideal)'. The two input modes (local file vs URL clip) and the numbered workflow make the tool's function unambiguous, and the explicit tie to 'used later as voice_name= in synthesize_speech' positions it distinctly from siblings like list_voices, delete_voice, and design_voice.

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

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

Provides explicit when-to-use guidance: prerequisites (5-30s clean single-speaker speech, exact transcript), a numbered 4-step workflow, mode-selection rules ('EITHER ref_audio_path OR audio_url must be provided, not both'), and common-error remedies (overwrite=True for existing voice names). It does not explicitly name tool_design_voice as the alternative when no reference audio exists, so the exclusions dimension is slightly incomplete.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.