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

With no annotations provided, the description carries the responsibility for behavioral disclosure. It discloses useful behaviors: the dataset size, a hard result cap of 25, and the inclusion of profile URLs. However, it does not address read-only guarantees, default sorting, pagination limits, or behavior when no query is supplied.

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?

Single, front-loaded sentence that moves from action to resource to result. Each clause contributes a distinct piece of information, and the vague 'and more' is acceptable shorthand for a tool with 38 optional parameters.

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?

The description covers the essential selection facts: it searches companies and returns a bounded set of enriched results (profile URLs). Given the strong 100% schema coverage and no output schema, an agent can usually invoke it correctly, but there are moderate gaps around result structure beyond URLs, sorting defaults, and how to obtain valid enum/vocabulary values.

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 description coverage is 100%, so the baseline is met by the schema itself. The description adds a high-level grouping of filter dimensions ('category, technology, country, pricing, domain rating, employees, age, and more') but no new syntax or semantic details beyond what the schema already provides.

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?

Clearly identifies a search verb and the target resource ('SaaS Browser database of 400k+ SaaS companies') and states the result shape ('up to 25 results with profile URLs'). The tool is recognizable as a company-search engine, but there is no explicit differentiation from sibling tools such as SearchAlternativesTool.

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 conveys when to use this tool—when the task requires searching/filtering SaaS companies in the SaaS Browser database. It does not mention alternatives, exclusions, or cases where a sibling tool would be more appropriate, so usage guidance is only implicit.

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