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

No annotations are provided, so the description carries the full load and does well: it discloses that unmatched names, unread lists, and unresolved rows are returned alongside paths; notes key/account/watch requirements; clarifies it says 'who to ask, never who is harmed'; and states citation/read-date and compilation protection. Lacks details on response shape or pagination, but covers key behavioral traits.

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 long and meandering, with legal/licensing text interleaved with functional explanation. Key operational details (key requirement, what gets returned) are buried mid-paragraph. It front-loads the core path concept but then sprawls.

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 two-parameter read tool with no output schema, the description covers inputs, output composition, access requirements, and legal constraints. It omits response format details, but the described return contents (paths, alongside unmatched/unresolved items) are sufficient for an agent to know what to expect.

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 the schema already documents 'companies' and 'target'. The description contextualizes 'companies' as 'the companies the reader buys from' and 'target' as a subprocessor, but adds no new syntax or edge-case meaning beyond the schema. Baseline 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 explains that it traces paths from a reader's list of companies to a target subprocessor, naming direct and indirect (fourth-party) relationships. The 'in_chain' name plus title make the resource specific. However, the phrasing is dense and doesn't explicitly say 'returns whether target is in the supply chain' in one crisp sentence, leaving some parsing work.

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?

Implied use is checking if a target subprocessor is linked to companies a reader buys from. It contrasts with siblings only indirectly by describing multi-hop paths (vs. 'named_by' for a single hop), but no explicit when-to-use/when-not-to-use or alternative naming is provided. The licensing/key note adds context but not selection guidance.

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