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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the closed-world, non-mutating profile is largely covered. The description adds that answers are cited, which is genuinely new and useful, but says nothing about behavior when the KB lacks an answer, latency, or limits — appropriate for a 3 given 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?

Two brief sentences, front-loaded with the action and immediately followed by the grounding and citation contract. No filler or redundancy.

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?

An output schema exists, so return values need not be explained, and the annotations cover safety. What is missing is the operational context an agent needs to choose this over search_knowledge, which is the main completeness gap for this 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%, with both 'question' and the 'lang' enum fully documented in the schema. The description adds no syntax, length, or language-selection detail beyond that, 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 (ask) and resource (the ABS assistant), plus the grounding scope ('answers only from the ABS knowledge base') and a distinguishing behavior (cites sources). It implicitly separates itself from search_knowledge by being an answering tool rather than a retrieval tool, but it never names or contrasts the sibling explicitly.

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?

There is no when-to-use guidance and no routing against the obvious alternative, search_knowledge. The agent must infer that this tool is for natural-language questions vs. raw passage retrieval, and nothing tells it when this tool would be a poor choice.

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