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

The description adds genuinely useful behavior beyond the annotations: the tool returns links and typical inputs rather than research payloads. It does not address the readOnlyHint=false on what appears to be a pure lookup, nor say anything about how many links come back or how to pick among them. No direct contradiction to the annotations is stated.

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, zero waste, and the critical constraint (this returns links, not data) is stated up front in the second clause. Nothing could be removed without losing meaning.

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?

With no output schema and one optional parameter, the description should carry more weight on the return shape — what a "link" actually is (a tool name? a URL?) and how the agent should consume "typical inputs." As written it is understandable but leaves the agent guessing at the exact response structure.

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 optional "goal" parameter has its full enum of values (all, search, detail, reviews, image-search, opportunity, keyword, price-history, sales-estimates) documented in the schema. The description adds nothing about how the goal filter maps to which APIs are returned, so baseline 3 applies.

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 uses a specific verb+resource ("find the concrete API for a research goal") and makes the meta nature of the tool explicit — it is a directory, not a data endpoint. That distinguishes it from the data siblings, though it does not distinguish it from the near-identical sibling nexscope_route_api.

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?

It states the usage condition (looking up the right API for a research goal) and the required follow-up step ("invoke the linked API for the actual research data"), which prevents the agent from treating the output as the data itself. It gives no explicit exclusion or alternative, e.g. when an agent should just call a known data tool directly instead.

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