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 does reveal the sentiment score scale (0-10) and the included fields, but it omits details about response ordering, pagination, or any limitations, which are important for a list-returning endpoint.

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, front-loaded sentence that immediately communicates the core purpose and output. Every word contributes value, with no filler or redundant phrasing.

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 tool with one optional parameter and no output schema, the description sufficiently covers inputs and outputs (episode name, sentiment score, summary). However, given the large sibling set and absence of annotations, a brief contrast with similar tools would make it fully complete.

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 already provides 100% description coverage for the single 'date' parameter, including format and 'omit for latest' guidance. The tool description adds no additional parameter semantics beyond what the schema already states.

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 specific action: retrieving all crypto podcast episodes published on a given date, and explicitly lists the returned fields (podcast name, sentiment score on a 0-10 scale, transcript summary). This distinguishes it from siblings like get_podcast_episodes and get_episode_details by focusing on market-wide episodes.

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 by specifying the date parameter and noting that omitting it returns the latest. However, it does not explicitly mention when to use this tool over alternatives or state any exclusions, so it stops short of full alternative guidance.

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