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

No annotations are provided, so the description carries the behavioral burden. It adds a useful and specific behavioral guarantee—returning 'not found' instead of guessing. However, it does not explain matching semantics (exact/substring), read-only safety, or what a found result looks like.

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 short sentences with no filler. The scope is stated first, and the important no-guess behavior is included without 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?

For a simple two-parameter search tool, this is largely complete: it names the searched fields, states the not-found behavior, and the schema fully documents parameters. The main missing piece is explicit guidance on when to choose it over sibling tools, but the core call contract is adequately covered.

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 baseline is 3. The description itself adds no detail about parameters, but the schema already documents q with examples and the limit with its default, so no critical parameter information is missing.

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 names a specific verb (cross-search) and concrete resources: item names, requirement bodies, and effect wording. This clearly separates it from sibling tools like list_items, get_item, or conflicts, which have different purposes.

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?

The description implies its usage context: searching for a term across multiple fields. However, it does not explicitly say when to prefer this over alternatives such as list_items or get_item, nor does it mention any exclusions or fallback routing.

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