deepgram_blog_audio

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

No annotations are provided, so the description bears full burden. It discloses that the tool saves to a directory, returns an MP3 URL and filename, and seals a ProofLink receipt. This is good transparency, though it could mention side effects like file overwriting or authentication requirements.

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?

Three sentences front-load the core purpose, then provide additional details (directory, return fields, receipt sealing). Each sentence adds distinct information without redundancy.

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?

Given the tool's simplicity (2 params, no output schema, no nested objects), the description covers the main functionality and outputs. However, it lacks information on error handling, prerequisites (e.g., API keys), or expected behavior when inputs are invalid.

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% with basic descriptions for title and content. The description adds value for the content parameter by noting that markdown is stripped automatically, which is not in the schema. This improves clarity beyond the structured data.

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?

The description specifically states it generates an MP3 audio version of a blog post via Deepgram TTS, saves to a directory, returns specific fields, and seals a ProofLink receipt. This distinguishes it from siblings like deepgram_transcribe (audio-to-text) and deepgram_tts (generic TTS).

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?

The description implies usage for converting blog content to audio but does not explicitly state when to use this tool versus alternatives. No exclusions or prerequisites are mentioned, though the sibling context provides some differentiation.

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