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

With no annotations, the description does the disclosure work itself and goes beyond the obvious read operation: it specifies that detection is 'currently detected,' confidence is a 0-1 score, version is included only when detectable, and evidence strings accompany detections. The caveat that absence means 'not-detected, never proven-absent' is a genuinely non-obvious behavior that helps an agent avoid over-interpreting negative results.

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 three sentences, all informative: the first sentence front-loads the key behavior and return fields, the second gives a user-friendly paraphrase, and the third adds a high-value interpretive caveat. No sentence is filler or redundant with the title.

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 one-parameter tool with no output schema or annotations, the description covers the input, return contents, and the critical absence semantics. The only notable gap is domain formatting and error behavior, which is a minor omission for this low-complexity 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 100%, so the parameter is already documented; the description only reinforces that technologies are scoped to 'a company domain' without adding format details such as whether protocols or subdomains are accepted. Baseline 3 is appropriate because the schema carries the semantic weight.

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 first sentence names a specific verb (retrieve), resource (technologies currently detected at a company domain), and enumerates the returned fields, so the core purpose is unmistakable. It does not explicitly contrast with sibling tools such as revnuvo_get_company or revnuvo_get_company_timeline, though the resource name itself makes the distinction fairly obvious.

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 'Answers ...' sentence gives the agent a clear user query this tool is meant to satisfy, which is concrete usage guidance. It does not provide exclusions or name alternatives, but for a single-resource lookup the implied context is clear enough.

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