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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely useful context beyond that: calling this tool executes nothing on the server — it only surfaces instructions. That prevents an agent from expecting an actual benchmark run.

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?

Two short sentences, front-loaded with the core purpose and finished with the key caveat. No filler, nothing repeated from the annotations or title.

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 trivial zero-parameter informational tool with no output schema, the description covers what it does and confirms nothing executes server-side. It could say slightly more about the form of the response (e.g., setup steps vs. a link), but nothing essential is missing.

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?

Zero parameters, so per the baseline this scores 4. The description correctly implies no arguments are needed — you get generic instructions applicable to whatever queries the user supplies locally.

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?

States a specific action — returning instructions for rerunning the benchmark locally with your own API keys and queries. That is clearly distinct from siblings like get_methodology or get_scorecard, though it never names an alternative directly. An agent can tell this is a documentation/instruction tool rather than a data tool.

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?

'Nothing runs on this server' implies this is the tool to call when the user wants to reproduce the benchmark themselves, and 'including on your own queries' widens the use case. However, there is no explicit guidance on when to prefer this over get_methodology, nor any stated prerequisites (e.g., API keys required for the local run).

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