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

Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered. The description adds genuinely useful domain scoping (what content the FAQ contains), but says nothing about result shape, size, or how ranking ties work beyond the schema's wording.

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?

One front-loaded sentence identifies the resource first, then qualifies the optional ranking. The parenthetical topic list is slightly dense but earns its place by helping an agent decide relevance.

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 single optional-parameter read tool with no output schema, the description covers resource identity, content scope, and the optional ranking behavior. Only the return shape (a list of question/answer entries) is left implicit.

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 coverage is 100% and the query parameter documents both filtering and ordering semantics itself. The description only restates the optional ranking idea, adding no syntax or matching detail beyond the schema.

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 questions and answers from the site's FAQ" names the resource and enumerates the topic areas covered (hiring/availability, role duties, technical Q&A), which lets an agent judge topical fit. It does not distinguish itself from the sibling answer_question, which is the obvious overlap.

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?

"Optionally ranked against a question" implies the condition for supplying a query, but there is no guidance on when to call this versus answer_question or get_case_study. Usage must be inferred from the topic list rather than stated.

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