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

No annotations are provided, so the description carries the burden, and it does disclose the case-insensitivity of matching and the result cap. However, it omits ordering of results, default limit behavior, permissions, and empty-result behavior, which matter for a search tool with zero 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?

A single front-loaded sentence that states resource, match semantics, and cap without filler. Efficient, though the result cap placement at the end is slightly awkward and could be paired with ordering information.

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?

No output schema and no annotations, so the description is the only source of return-shape information. It implies rows are returned but does not state ordering, whether truncation occurs beyond the cap, or the default limit, leaving meaningful gaps for a no-output-schema 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 coverage is 50%: query is documented in-schema ('text to look for in any cell'), while limit has only min/max bounds and no description. The description usefully adds case-insensitivity for the query, but never clarifies the limit's default or how truncation is signalled.

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?

Specific verb (search) plus resource (rows of the Working Capital Quotes dataset) and matching semantics (cells contain the query, case-insensitive). An agent can distinguish it from the dataset_* siblings only by inference, since no sibling is named as an alternative.

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?

No when-to-use, when-not-to-use, or alternative routing is stated. With siblings like dataset_top, dataset_row, and dataset_stats nearby, the description gives no signal about which one to pick for which need; usage must be inferred from the name alone.

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