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

With no annotations, the description carries the behavioral burden and does disclose core search semantics: substring containment, case-insensitivity, and the 50-row cap. It does not mention result ordering, pagination beyond the cap, or whether full row objects are returned, but it is still informative for a simple read-only search.

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 concise sentence that front-loads the resource, the matching rule, the case-sensitivity behavior, and the result cap. There is no filler or redundant repetition of schema details.

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, flat search tool, the description covers the target dataset, match condition, case sensitivity, and upper bound. The absence of an output schema is partially addressed by saying 'Rows,' but the lack of output-shape details and pagination behavior prevents a perfect score.

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 only 50% because 'limit' lacks a description. The tool description partially compensates by saying 'up to 50,' which hints at the limit parameter's effect, and the case-insensitive clause adds query semantics. However, it does not state the behavior when limit is omitted or explicitly connect 'up to 50' to the limit parameter, leaving some ambiguity.

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 specifies a precise behavior: return rows from the GPA Grade Compare dataset where any cell contains the query, with case-insensitive matching and a 50-row cap. This clearly identifies the tool's purpose and differentiates it from sibling tools that handle columns, stats, provenance, or single-row access.

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 explicit guidance on when to use this tool versus alternatives like dataset_row, dataset_top, or dataset_stats. The description implies row-level text search but provides no exclusions or routing hints, leaving the agent to infer the appropriate context.

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