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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose case-insensitive matching and the 50-row upper bound, which is useful, but it does not address default limit behavior, result structure, or any side effects. For a simple search tool this is moderate but not fully transparent.

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, well-structured sentence that front-loads the core behavior and includes the key constraint (case-insensitive, up to 50). Every word earns its place with no filler or repetition.

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 relatively simple tool with two parameters and no output schema, the description covers the essential behavior needed to select and invoke it: what is searched, how matching works, and the result cap. It does not explain the default limit or return format, but the absence of an output schema lowers the burden somewhat.

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 documents the query parameter but leaves the limit parameter without descriptive text. The description adds meaning by clarifying that matching is case-insensitive and that results are capped at 50 rows, which maps to the limit behavior. It still omits the default limit value and whether matching is substring-based versus exact, so it is not a 5.

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 states exactly what the tool does: returns rows of the Dispatchzo dataset where any cell contains the query, with case-insensitivity and a 50-row cap. This clearly distinguishes it from sibling tools like dataset_columns or dataset_stats, which have different purposes.

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 implies usage: use this tool when you need to find rows by matching text in any cell. However, it does not explicitly mention when to prefer this over alternatives, nor does it state exclusion cases or when another sibling tool 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.