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

Annotations declare readOnlyHint=false and destructiveHint=true, but the description frames this purely as a retrieval endpoint that 'will provide you with a list'. That directly contradicts the mutation/destructive profile the annotations assert. No auth, rate-limit, or pagination context is added either.

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 sentences, front-loaded with the core purpose and followed by the alternative usage mode. No waste, though the second sentence could be more directive about when to prefer which mode.

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 a rich nested input schema and an output schema present, the description need not explain return values. It is adequate for a data-query endpoint but leaves the POST body contract (at-least-one of group/category/technology/keyword), filtering, and pagination entirely to the schema.

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?

The description adds nothing about the body array's fields (group, category, technology, keyword, mode, filters, etc.). Its only real value is the 'category or group for wider stats' hint, which loosely maps to the mutually exclusive selector fields. The nested schema property descriptions carry the parameter burden, so a baseline 3 is appropriate.

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 verb and resource: it returns a list of popular technologies used alongside the specified technologies, and can widen to categories/groups. An agent can grasp the aggregation concept, though it never names or distinguishes itself from siblings like technology_stats_live or summary_live.

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 second sentence gives implied guidance on granularity ('specify technology categories or groups to obtain wider stats'), which hints at how to shape a query. However, there is no explicit when-to-use-this-vs-alternatives guidance against the many sibling endpoints, and no prerequisites.

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