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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe read operation. The description adds the contextual detail that it returns 'attributed views and catch-up' and expects a slug, but it does not disclose any other behavioral traits like pagination, data freshness, or whether it returns live data. Given the annotations cover the safety profile, a 3 is appropriate.

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, concise sentence with an example embedded, making it efficient and directly to the point. No filler words; it front-loads the result type and the key input.

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?

The tool has a simple input (one slug) and an output schema that may describe the return structure, so the description need not explain return values. However, given the jargon 'talking head' and the lack of usage guidance, the description is not fully complete for an agent to call it correctly in all contexts. It is adequate for a simple read operation but leaves room for improvement.

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 0%, so the description must compensate. It provides an example slug ('lyn-alden') that hints at the format, but it does not explain what a slug is or what values are acceptable beyond the example. The parameter 'slug' is just a string in the schema; the description adds minimal meaning by giving an example.

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 states the tool retrieves attributed views and catch-up for a talking head by slug, with an example slug provided. However, the term 'talking head' is jargon and not clearly defined, which may confuse agents. It is distinguishable from siblings like 'get_catchup' only by the focus on 'attributed views and catch-up' for a talking head, but the purpose is not as crisp as it could be.

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 implies usage when you have a talking head's slug, but it does not explicitly state when to use this tool versus alternatives. There is no mention of when not to use it or how it differs from 'get_catchup' or 'get_latest', which might also retrieve similar data. Clear guidance is missing.

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