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

No annotations are provided, so the description carries the burden. It discloses search case-insensitivity and the 50-row cap, which are useful behavioral traits. However, it does not state any rate limits, whether the search is blocking, error behavior, tokenization, or what happens if more than 50 matches exist (only that results are capped).

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?

The description is a single, front-loaded sentence that states the essential behavior and the limit. Every word earns its place, and the core mechanism is presented first.

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?

The tool has no output schema, so the description should clarify what the response looks like, but it doesn't. For a search tool, an agent would benefit from knowing the result format (e.g., rows, objects, count, truncated indicator). The description is adequate for basic invocation but lacks guidance on handling cap or result shape.

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 only 50%, which means the 'limit' parameter is undocumented in the schema. The description adds the critical constraint 'up to 50', which effectively documents the limit behavior. However, it does not explain the semantics of the query parameter beyond the schema, though the schema already describes it adequately.

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 states a specific verb ('search'), a resource ('Dsarvo dataset'), and a key behavior (case-insensitive substring match, max 50 rows). This clearly distinguishes the core action from a generic list or filter. However, it does not explicitly contrast with sibling tools, so it loses one point.

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 when to use it: when you need rows containing a query string, up to 50 results. It does not mention alternatives, exclusions, or when not to use it (e.g., for exact-match lookups, broad listing, or pagination). No sibling differentiation is provided.

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