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

There are no annotations, so the description carries the burden. It discloses the composite nature of the data ('details, summary, quotes and asset mentions') and the efficiency trait ('in one call'), but does not mention what happens on errors, authentication needs, rate limits, or any other behavioral aspects. The description adds value beyond the name but remains limited.

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 one concise sentence, front-loaded with the core action and outcome ('Get full episode data in one call'), followed by a relevant list of contents. Every word earns its place.

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, no-output-schema tool, the description provides sufficient context: it names the data categories returned without over-explaining. It could be more explicit about the return structure, but given the simplicity and sibling context, it is adequately 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?

Schema coverage is 100% with a single parameter, so the schema fully documents 'episode_id'. The description does not add any extra meaning about the parameter, keeping it at the baseline level for high coverage.

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 uses a specific verb ('Get') and resource ('full episode data'), explicitly listing what's included (details, summary, quotes, asset mentions). This distinguishes it from sibling tools like get_episode_details, get_episode_quotes, and get_episode_summary, which fetch individual components.

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 phrase 'in one call' implies an aggregating use case, but there is no explicit guidance on when to choose this over the granular siblings or whether to use it instead of multiple calls. Context is clear but exclusions/alternatives are not stated.

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