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

With no annotations, the description carries full burden. It usefully discloses match semantics (case-insensitive, any cell) and a result cap ('up to 50'), which is real behavioral context. However, it never states this is a read-only operation, how results are ordered, or what happens when more than 50 rows match (silent truncation vs error).

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?

A single dense sentence with no filler, front-loading the resource and result set before the matching rule. Appropriately sized for a two-parameter tool, though the trailing 'up to 50' phrasing is slightly ambiguous.

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?

With no annotations and no output schema, the description must stand alone, and it does describe the return unit (rows) and cap. It omits ordering, whether all columns are searched across multiple datasets, and behavior on empty results, which leaves gaps for an agent composing a query workflow.

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 coverage is 50%: `query` is documented in the schema, `limit` is not. The description adds case-insensitivity for the query and clarifies that the 50 cap relates to the limit parameter, partially compensating. It still doesn't explain the default when `limit` is omitted or whether 50 is a default or a ceiling.

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 (search) and resource (rows of the Contractor Lead Quotes dataset) with scoping detail — matches on cell content, case-insensitive. It does not name any sibling (e.g. dataset_top, dataset_row, dataset_compare) to distinguish itself, so it falls short of a 5.

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 mention of alternatives, despite four closely related sibling tools (dataset_top, dataset_row, dataset_compare, dataset_stats) that an agent must choose between. Usage is only implied by the word 'search'.

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