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

With no annotations, the description carries the full burden, and it only discloses that the output is a 'prompt pack' containing a prompt, usage guide, and edge-case handling. It does not say whether the tool is read-only or produces side effects, what permissions it needs, or how the optional query reshapes the result. The packaging claim is more sales framing than behavioral disclosure.

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, none of which lead with the actual operation; the first line is a slogan and the remaining lines sell a bundle rather than describe behavior. The text is short but the priority is wrong — an agent scanning it learns nothing actionable before the fluff.

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 one-parameter prompt-pack tool with no annotations and no output schema, the description should at minimum identify what artifact is produced and when it is appropriate. It hints at the contents of the pack but leaves the core question — what does a 'kb check' evaluate and what does the agent get back — unanswered.

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?

The single optional 'query' parameter is fully documented in the schema (100% coverage), so a baseline of 3 applies. The description adds no meaning about how the query scopes the check, but it does not need to given the schema coverage and the absence of required parameters.

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 is marketing copy ('Turn expertise into output', 'produce professional results in minutes') rather than a statement of what the tool does. It never says what is being checked, what a knowledge-base check involves, or how this differs from the ir-kb-gen-tool / ir-kb-tpl-tool siblings that share the same prefix. Only the word 'check' in the name hints at a review/validation role.

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 at all: no prerequisites, no mention of the gen/tpl alternatives, and no condition under which an agent should pick this tool over them. 'Helps restaurant and brand teams' is an audience label, not an invocation criterion.

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