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

Annotations already declare read-only, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds useful provenance (which benchmark datasets back the scores), but says nothing about result volume, pagination, or how prices are dated.

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 dense sentences with no filler, and the core purpose plus units are front-loaded before the filter/sort note. Slightly more spec-like than helpful, but appropriately sized.

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 five-parameter, no-required-args listing tool with no output schema, the description covers the domain and units well enough to call it, but the 40% schema coverage leaves parameter behavior under-specified and there is no note on pagination or default result size.

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 only 40% across five parameters, so the description should compensate and does not: "Filter and sort" is a generic gesture that adds no field-level meaning. The country hint ("US and Chinese LLMs") loosely maps to the country parameter and the score names loosely map to sort_by values, but limit and vendor remain unexplained in both places.

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 resource (official API list prices in USD per 1M tokens) plus the benchmark sources attached to it, which clearly separates it from siblings like list_gpu_prices and get_llm_price_history. It does not explicitly name a competing sibling or scope boundary, but the resource is unambiguous.

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?

"Filter and sort" gestures at how to drive the tool but gives no when-to-use guidance, no conditions that select it over get_llm_price_history or cheapest_model_for_score, and no prerequisites. The agent must infer its role from the sibling list alone.

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