datasets_apple_podcasts_shows_search

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

No annotations are provided, so the description carries the full disclosure burden. It discloses the dataset discovery method, coverage limitation, and the sort enum, which adds behavioral context beyond the tool name. It doesn't mention pagination limits or rate limits, but those are partially in the schema and the core limitation is well disclosed.

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 (four sentences) and front-loaded with the purpose. Each sentence earns its place: dataset scope, search index, row granularity, provenance/limitation, and sort options. No filler or 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?

With no output schema, the description could explain return fields more explicitly, but it provides essential context about dataset coverage and sort options. The 100% schema coverage handles parameter semantics, making the description adequate for a search tool despite not detailing result fields.

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 100%, so the schema already documents all 10 parameters. The description lists the sort enum values, but this duplicates schema content and does not add new meaning. It does not explain parameter interactions beyond what the schema provides.

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 verb ('Search') and the resource ('Apple Podcasts shows dataset'), and distinguishes from siblings by describing the dataset as crawled from a chart grid and search-term sweep, not a full catalog. It also notes 'One row per show,' which clarifies the granularity.

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 clear context about dataset provenance and its limitation ('not a full catalog of every Apple Podcasts show'), implicitly indicating this tool is for searching the crawled dataset rather than live Apple Podcasts search. However, it does not explicitly name alternatives or state when not to use this tool.

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