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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds a genuinely useful behavioral fact not in structured fields: a $0.25 USDC x402 cost per call. It does not mention latency or whether the analysis is generated on demand, which keeps it at a 4.

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 tight sentences: the first front-loads what is returned, the second covers use cases and cost. Every clause earns its place with no filler or restatement of the name.

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, and the description compensates by enumerating the response fields (industry, market position, competitors, advantages/weaknesses, dynamics, outlook). Combined with the cost disclosure and fully documented parameters, an agent has everything needed to call this correctly.

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%, so both 'lookup' and the 'language' enum are fully documented in the schema, including the same-price-in-every-language note. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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 opens with a specific verb+resource ('Competitor analysis for any company') and enumerates exactly what the result contains: industry, market position, direct/indirect competitors, advantages, weaknesses, dynamics, and outlook. It is clearly distinguished from data-profile siblings like business_info or industry_classification, but never names an alternative, so it stops short of a 5.

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?

Use cases are listed ('competitive intelligence, market research, sales battlecards, investment research'), which implies when to reach for it, but there is no explicit when-not guidance and no named alternative among the 60+ siblings. The agent must infer that business_info or industry_classification is the narrower substitute.

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