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

With no annotations (e.g., readOnlyHint), the description must carry the burden of disclosing side effects or safety. It does not explicitly state that the tool is read-only or that it performs no modifications. While the wording implies a query operation, the lack of an explicit statement about side effects or permissions leaves transparency incomplete.

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, compact sentence that conveys the core functionality without any unnecessary verbosity. It is well-structured and immediately understandable, making it an excellent example of conciseness.

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 search tool with no output schema, the description covers the essential behavior: it explains the search scope (all cells), the case-insensitive nature, and the result limit. It does not mention default behavior when 'limit' is omitted or the order of results, but these are minor gaps given the tool's low complexity and the absence of an output schema.

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 'query' parameter is described as 'text to look for in any cell', which clarifies its purpose. The 'limit' parameter has no description in the schema, but the tool description's 'up to 50' provides indirect context that suggests it controls the maximum number of rows returned. Since schema description coverage is 50% and the description partially compensates, the score is average.

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 returns rows from the HostingByStack dataset that match a case-insensitive query, with a maximum of 50 results. However, it uses a noun phrase ('Rows of...') rather than an explicit verb like 'Search' or 'Retrieve', which slightly reduces clarity. It effectively distinguishes itself from sibling tools like dataset_row or dataset_top by describing the filtering behavior.

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 provides no explicit guidance on when to use this tool versus its siblings (e.g., dataset_top, dataset_row, or dataset_compare). It does not mention whether it is preferred for full-text search across all cells or when to use a different tool. Users must infer the appropriate use case solely from the tool's name and the description's content.

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