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

The annotations already indicate read-only, idempotent, and non-destructive behavior, so the description does not need to repeat that. It adds useful transparency about provenance, verification meanings, the fact that verification never influences ranking, and that efficacy is not assessed, which clarifies the tool's data semantics.

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?

The description is grammatically organized but somewhat repetitive, with 'never influences ranking' and 'never a ranking input' conveying the same idea twice. It also uses parenthetical asides that could be tightened, though the main points remain clear.

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?

Because there is no output schema, the description should compensate by specifying the response shape, but it only lists conceptual fields (provenance URLs, freshness timestamps, corroboration counts) without indicating whether the result is a single object or a list. It also omits error cases and pagination, leaving some operational context unspecified.

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?

The single brand parameter is fully documented in the schema with an example ('bioptimizers'), and the description reiterates that it is a brand id or name. The description adds no additional detail about expected format, case sensitivity, or error behavior, so it meets the baseline but does not exceed it.

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 title and description clearly state the tool retrieves structured claims for a single brand, with a specific noun phrase ('claims with provenance') and a required brand parameter. However, it does not contrast itself with sibling tools like get_gap_report or get_ledger, so some sibling differentiation is left to the agent.

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 description does not state when to prefer this tool over the sibling tools, nor does it mention typical use cases or prerequisites. It explains internal semantics of verification statuses and ranking, but not the conditions that should trigger a call to get_verified_claims.

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