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

With no annotations, the description carries the full burden. It usefully discloses case-insensitive matching, whole-cell scope, and a hard cap of 50 rows, but says nothing about permissions, ordering, or whether results are silently truncated when more than 50 rows match.

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 tight sentence with the resource and matching rule front-loaded and the result cap trailing. Nothing is redundant or padded.

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 with no output schema, the description covers the essential contract (what matches, how many rows). It omits ordering, truncation signalling, and any note on what a returned row looks like, which an agent would want before relying on the results.

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%: the query parameter is documented in the schema, while limit is not. The description partially compensates by explaining query semantics (case-insensitive, any cell) and the 50-row ceiling that bounds limit, but adds no meaning for limit's lower bound or its effect on result completeness.

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 operation (find rows whose cells contain the query), the resource (Cookievo dataset), and the search semantics (case-insensitive, any cell). It implicitly distinguishes itself from size/oriented siblings like dataset_top and dataset_row, but never names an alternative explicitly.

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 statement of when to use this tool versus dataset_top, dataset_row, dataset_compare or the other siblings. The usage is only inferable from the operation itself, with no exclusions or prerequisites given.

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