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

No annotations exist, so the description bears the burden, but it does disclose something valuable beyond structure: credentials come from the caller's OpenAny gateway and billing/authorization are gateway-determined. It does not say what is returned (a list of candidate names) or how matching behaves, so the disclosure is partial.

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?

Two short sentences with no filler; the billing/credential note is front-loaded after the purpose line. Brevity is fine, though the first sentence is too terse to carry the purpose alone.

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 one-parameter lookup with no output schema, the description never tells the agent that results are autocomplete suggestions, how many come back, or what to do with them. The credential/billing note is useful but does not fill the core completeness gap.

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% and the single `query` parameter is documented as "partial technology name", so the schema already carries the meaning. The description adds no additional semantics such as minimum characters or matching mode, which is the baseline 3 for a fully covered schema.

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?

"Lookup technologies" states a resource but the verb is generic and never conveys the autocomplete/prefix-matching nature of the call; only the title and the schema's "partial technology name" reveal that. It is distinguishable from sibling enrich/get calls only by inference, not by the text itself.

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?

There is no guidance on when to use this versus the sibling autocompletes (companies, keywords, positions) or the full technologies lookup path. The agent gets no explicit condition for selecting it.

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