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

With no annotations, the description carries the full burden. It does disclose case-insensitive matching and a 50-row limit, which are useful behavioral traits. However, it does not state read-only behavior, ordering, or what happens when no rows match.

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 sentence with no filler. It front-loads the result type and key constraints (case-insensitivity, limit), making it easy to scan.

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 tool with no output schema, the description covers the core search semantics and constraint. But it omits usage context and expected response shape, which would help an agent interpret results or decide when to fall back to another sibling tool.

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% (query is described, limit is not). The description compensates by explaining that matching is on any cell and case-insensitive, and 'up to 50' clarifies the limit parameter's purpose. Still, the limit's role as a result count control is only implicit.

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 a specific action and resource: it returns rows of the PaywallCompass dataset whose cells contain the query, case-insensitively, up to 50. This is specific enough to distinguish it from siblings like dataset_row or dataset_stats, though it does not explicitly name the alternative.

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 guidance is given on when to use this tool versus siblings such as dataset_row, dataset_stats, or dataset_top. The only usage cue comes from the tool name and title, not from the description.

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