podcast_demographics

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

No annotations exist, so the description must fully disclose behavioral traits. It mentions 'estimated' demographics, indicating uncertainty, but does not address rate limits, authentication needs, or how estimates are derived. This leaves significant gaps for a data-retrieval tool.

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 a single sentence that efficiently conveys the tool's purpose and the types of demographic data returned, with no redundant or filler content.

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 absence of an output schema and annotations, the description provides a useful list of demographic categories but fails to specify the output structure (e.g., data format, whether percentages or counts). It is adequate but could be more precise for API consumers.

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?

There is only one parameter 'podcast_id' with schema description 'The Rephonic podcast ID.' Although schema coverage is 100%, the description adds no further detail about the parameter's format or constraints, achieving baseline adequacy.

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 returns estimated demographic information for a podcast, listing specific categories like age groups, education, and geographic distribution. This distinguishes it from sibling tools such as 'trends' or 'shared_audience_graph'.

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?

No explicit guidance on when to use this tool versus alternatives like 'trends' or 'list_episodes'. The context is implied by the tool name and description but lacks clear when-not-to-use or prerequisite conditions.

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