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

The description discloses the cost of 0.5 credits, which is a key behavioral trait. With no annotations, it carries the full burden and provides useful information, though it lacks details on rate limits or authorization.

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, well-structured sentence that front-loads the purpose and includes key details without unnecessary words.

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?

Despite no output schema and minimal annotations, the description covers the main functionality, filtering, and cost. It lacks details on response format or pagination, but for a simple listing tool it is largely 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?

Since schema description coverage is 0%, the description compensates by explaining that 'category' and 'block_id' are for filtering. However, it does not clarify the 'limit' parameter (e.g., pagination behavior), leaving a gap.

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 tool lists published benchmark test cases with filtering options and aggregate pass rates. It distinguishes itself from sibling tools like submit_benchmark (creation) and get_block (specific block retrieval).

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 indicates use for listing benchmarks with filters, providing clear context. It does not explicitly exclude usage scenarios or mention alternatives, but the intended use is evident.

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