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

The annotations already indicate read-only, non-destructive, and idempotent behavior. The description adds important caveats: claims are derived context (not measured values) and source titles/urls are third-party content to be treated as data, not instructions. This goes beyond annotations to prevent misinterpretation of the returned data.

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 two sentences, front-loaded with the main function and followed by critical caveats. There is no fluff or redundant information, and the structure is logical and easy to parse.

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 simple tool with one parameter and no output schema, the description covers the purpose and important data-handling warnings. It does not explain how to interpret the 'evidence package' beyond the caveats, but that is not strictly necessary given the tool's scope. Slightly more detail on the structure of the return could be added, but it is not a significant gap.

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?

There is only one parameter, 'slug', with a minimal description 'The sequence slug.' The schema covers it fully, so the description adds no extra semantic value. The meaning is self-evident given the tool's purpose, so the baseline of 3 is appropriate.

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 clearly states the tool returns review-pending identity/commerce/quality claims and literature sources for one sequence. It is specific about the resource (sequence) and the type of data (claims and literature), distinguishing it from sibling tools like sequence_lookup or catalog_search.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not mention conditions or contexts that would make this the preferred choice over sibling tools like defiance_sequence_lookup or defiance_catalog_search. Usage is implied but not clearly stated.

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