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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context that results include pricing units and agent eligibility, but says nothing about result volume, the limit parameter, or ordering.

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?

A single compact sentence with the resource and the filter front-loaded; no filler. It is arguably too terse rather than verbose, but nothing is wasted.

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?

With no output schema and 0% schema coverage, the description adequately conveys what the tool returns but leaves the limit parameter and result-set size undocumented. An agent could call it correctly for the basic case but not optimize paging.

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 carry both parameters. It only covers 'query' loosely ('filter by name') and completely omits 'limit' (default 15, max 40), leaving the agent unaware of pagination/truncation behavior.

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 (LLM API prices) and explains the returned dimensions: per-1M input/output token cost, context, and agent eligibility. It is distinguishable from siblings like price_history, though it never names or contrasts with them explicitly.

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 only usage signal is 'Optional filter by name,' which describes a parameter rather than when to choose this tool. No guidance on when to prefer it over price_history, find_apis, or current_deals, and no exclusions.

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