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

The description states the matching behavior but is ambiguous about whether it returns one row or multiple rows (title says 'a row', description says 'rows'). It also does not mention ordering, limits, error behavior, or whether any mutation is possible; no annotations fill this gap.

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 concise and front-loaded, conveying the core behavior in one sentence with no redundant content.

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?

The description is adequate for a simple lookup but lacks an output schema, error semantics, and a clear definition of the returned row(s). It also leaves the typo 'Sowbird' unresolved, which could affect agent interpretation.

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?

The schema only gives parameter names with minLength constraints. The description adds that one is a column and the other is a value, but does not define accepted column names, value types, or how case-insensitivity is applied.

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?

Title and description clearly indicate the tool retrieves rows from a dataset based on an exact, case-insensitive column/value match. However, it does not explicitly distinguish when to choose this over dataset_search or dataset_compare, and the resource name 'Sowbird' appears typoed.

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 usage guidance is provided. The description does not state when to use this tool instead of siblings like dataset_search, dataset_compare, or dataset_top, nor any prerequisites or limitations.

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