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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully reveals that matching is exact and case-insensitive, but it leaves ambiguity about singular versus plural results — the title says 'a row' while the description says 'rows' — and does not describe behavior for no matches or multiple matches.

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 focused sentence that front-loads the resource and the core matching rule. Every word adds meaning, and the case-insensitivity detail is placed where it is easy to notice.

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 two-parameter lookup with no output schema, the description provides enough context to select and invoke the tool: the resource, the matching semantics, and the parameter roles. It is slightly incomplete regarding whether one row or multiple rows are returned and what an empty result looks like.

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%, so the description must clarify the parameters. It does this by tying 'column' and 'value' into the matching predicate: a row is returned when a named column equals the supplied value. This is sufficient for the two simple string parameters, though it could be slightly more explicit about value formatting.

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 title states a specific action ('Look a row up by an exact key') and the description names the resource ('the FMlane dataset') and the exact matching condition. This distinguishes it from siblings like dataset_search by emphasizing exact, case-insensitive equality.

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 clearly implies use when an exact, case-insensitive match on a column value is needed, which contrasts with the fuzzy search implied by dataset_search. It does not explicitly name alternatives or state when not to use it, but the exact-match condition is enough to guide selection.

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