analyze_url

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It does transparently mention input requirements (public/signed https, up to 60 MB) and cost/output parity with analyze_track. Yet it omits failure modes, authentication needs, or what the returned analysis looks like, leaving notable gaps for autonomous use.

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 two compact sentences with no redundant fluff. The key constraint (URL type, size) is front-loaded, and the 'Same output and credit cost as analyze_track' clause efficiently conveys expected behavior without repeating schema details.

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?

The tool is relatively simple, but with no output schema and no annotations, the description must explain what the agent should expect. It gives input constraints and cost/output parity, but not the result structure or error behavior. This is adequate for basic selection but incomplete for nuanced autonomous invocation.

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 description coverage is only 33%, and the description only adds meaningful context to audio_url (format, size, signed-links). The model parameter's enum values (core/ultra) are left unexplained, and track_name has no description or semantic hint. The description does not compensate for the low coverage of the other two parameters.

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: analyzing audio from a URL. It specifies the input type (public or signed https link), size limit, and distinguishes itself from the sibling analyze_track by referencing it for output/cost comparison. This is a specific verb+resource with clear differentiation.

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 the tool should be used when an agent has an audio URL to analyze, and it notes format and size constraints. However, it does not explicitly state when to prefer this over analyze_track or when not to use it. The reference to analyze_track is indirect and leaves usage decision-making partially open.

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