audio-to-markdown

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'including transcription if possible', which hints at conditional behavior, but fails to detail critical aspects like error handling, processing time, audio format limitations, or output structure. This leaves significant gaps in understanding how the tool behaves in practice.

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?

The description is concise and front-loaded in a single sentence, efficiently stating the core function without unnecessary details. However, the phrase 'if possible' introduces ambiguity that could be clarified with slightly more context, slightly reducing efficiency.

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 complexity of audio processing and lack of annotations or output schema, the description is incomplete. It omits essential context like supported audio formats, transcription accuracy, output format details, or error conditions. For a tool with no structured behavioral hints, this leaves the agent under-informed about how to effectively use it.

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?

The input schema has 100% description coverage, clearly documenting the single parameter 'filepath'. The description adds no additional parameter semantics beyond what the schema provides, such as file size limits or supported audio formats. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 clearly states the tool's function with a specific verb ('convert') and resource ('audio file'), and the target format ('markdown') is explicit. However, it doesn't distinguish itself from sibling tools like 'youtube-to-markdown' or 'webpage-to-markdown' beyond the input type, missing explicit differentiation in scope or capabilities.

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 provides no guidance on when to use this tool versus alternatives. It lacks context such as prerequisites (e.g., file format support), performance expectations, or comparisons to siblings like 'youtube-to-markdown' for audio from videos, leaving the agent to infer usage based on the tool name alone.

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