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

With no annotations, the description carries the full burden, and it does disclose the return shape reasonably well: cases, harm and escalation counts, incident-type breakdown, and a category benchmark. It says nothing about behavior for an unknown slug, whether the case list is paginated or truncated, or what time window counts cover.

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 dense sentence with no filler, and the most important fact (one company) is front-loaded. It is a fragment rather than a sentence and omits an action verb, but nothing in it 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?

There is no output schema, so the description must carry the return semantics, and it does so at a high level. It still leaves gaps an agent would want: how many cases come back, whether individual case detail requires get_case, and what the 'category average' is computed over.

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 100% and the slug parameter is documented with examples (waymo, cruise, starship-technologies). The description adds no parameter detail at all, which meets the baseline-3 bar when the schema fully documents the single argument.

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 is a noun phrase that makes clear this returns a single company's dataset — its cases, harm/escalation counts, incident-type breakdown, and category average. 'One company's' implicitly contrasts with a multi-company listing, but no sibling is named explicitly and there is no verb, so the operation must be inferred from the tool name.

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?

There is no statement of when to call this versus list_companies, search_cases, or get_case. The phrase 'for comparison' hints at a benchmarking use case but never states a trigger or exclusion, leaving the agent to infer routing from sibling names alone.

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