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

With no annotations, the description carries the behavioral disclosure burden. It usefully discloses case-insensitive matching, cell-level search, and a cap of 50 results. However, it does not describe output shape, default limit behavior, ordering, or what happens when no rows match, leaving some behavioral aspects unclear.

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, efficient sentence with no redundant words. It front-loads the main resource ('RemitDeck dataset') and the core matching criterion. It could be marginally improved by using a proper verb and a clearer sentence structure.

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 tool, the description covers the essential behavior and the limit. However, with no annotations and no output schema, it lacks guidance on when to use this tool among siblings and omits details about default limit, result ordering, and output format. These gaps make it merely adequate rather than fully complete.

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%, with only 'query' described. The tool description adds meaning by clarifying that the query is a case-insensitive cell match and that 'up to 50' relates to the limit parameter. It does not explain the default limit if omitted, though the schema indicates limit is optional.

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 tool's behavior: it returns rows of the RemitDeck dataset whose cells contain the query, case-insensitively, up to 50 results. Combined with the title 'Search the dataset', the purpose is unambiguous and distinguishable from siblings like dataset_row or dataset_top, though the description itself is a noun phrase rather than a full sentence with an explicit verb.

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 gives no guidance on when to use this tool versus alternatives such as dataset_row, dataset_top, or dataset_stats. There are no exclusions or conditions provided, so an agent must infer usage from the title and schema alone.

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