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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds the meaningful constraint that only *published* items are returned, which is not derivable from the annotations. It stops short of describing result shape or ordering, but the bar is lower given full annotation coverage.

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?

Three sentences, front-loaded with the core behavior, followed by routing guidance and one negative constraint. No sentence is redundant and nothing important is buried.

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-parameter read-only lookup with full annotation coverage and a fully documented schema, the description supplies everything an agent needs: purpose, scope limit (published only), filter semantics pointer, and explicit alternatives. The absence of an output schema is not a meaningful gap for a Q&A list tool.

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% and the schema itself is unusually rich, enumerating the valid category values and explaining the free-text fallback and the omit-to-get-all behavior. The description only restates 'optionally filtered by topic', adding nothing beyond the schema, 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?

States a specific verb and resource ('Returns published questions and answers') plus the optional filter, and explicitly contrasts itself with search_knowledge_base and assess_ai_readiness. An agent can distinguish it from all eight siblings without opening a schema.

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?

Gives explicit when-to-use ('specific questions about pricing, governance, implementation or the products') and when-not ('does not search the long-form guides'), naming the replacement tool. It also routes readiness checks to assess_ai_readiness, covering the nearest ambiguous siblings.

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