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

The description discloses the matching semantics (exact, case-insensitive) and that rows are returned, but with no annotations it fails to explain more. It does not state whether the operation is read-only, what happens with zero or multiple matches, whether results are limited or ordered, or why the title's singular 'row' conflicts with the description's plural 'rows'.

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 sentence with no filler or repetition, and the key matching behavior is presented up front. It is appropriately concise, though the ambiguity and missing usage context prevent a top score.

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 tool with no annotations, no output schema, and 0% schema description coverage, the description is thin. It does not clarify return shape, limits, error behavior, or when to choose this over dataset_search and dataset_compare. The singular/plural ambiguity also leaves an incomplete picture for an agent.

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 0%, and the description only refers loosely to 'a column' and 'a value' without explicitly mapping them to the required 'column' and 'value' parameters. It offers some semantic context but does not sufficiently compensate for the lack of schema documentation.

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 clearly states the core operation: returning rows from the Eposvo dataset where a column equals a value. It adds specificity with 'exactly (case-insensitive)', which distinguishes it from fuzzy search tools like dataset_search. However, the title says 'a row' while the description says 'rows', creating minor ambiguity.

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 guidance is given on when to use this tool versus alternatives such as dataset_search or dataset_compare. The description does not state exclusions, prerequisites, or situations where another sibling would be more appropriate.

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