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

No annotations are provided, so the description carries the full burden. It discloses a key behavioral trait—the opening may be paid ($0.01/req) or passed—which is useful. However, it does not mention authentication, error handling, or rate limits, leaving some gaps.

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 extremely concise, with two sentences that front-load the purpose and then explain the argument. No wasted words; every part adds value.

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?

For a single-parameter tool with no output schema, the description covers the key aspects: what the tool returns (metadata, segment count, opening), the cost consideration, and the source of the parameter. It is sufficient for an agent to invoke it correctly, though it omits detailed return formatting.

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 schema has one parameter (episode) with no description, so coverage is 0%. The description compensates by explaining exactly what the parameter is ('episode id from transcripts_search'), adding meaning beyond the bare string type.

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 resource ('One podcast episode') and what it returns (metadata, segment count, opening). It distinguishes from siblings like transcripts_search and transcripts_sentiment by focusing on a single episode's details, though it lacks an explicit verb like 'get' or 'fetch'.

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 usage context: the episode id is from transcripts_search, implying this tool is used after a search to retrieve details for a specific episode. It does not explicitly state when not to use it, but the prerequisite is clear.

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