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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'find' and lists example relation types; it does not mention resolution behavior, whether anything is mutated, or any limitations. The behavioral detail that the name is 'resolved first' appears only in the parameter schema, not in the tool description.

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 one tight sentence with no filler and front-loaded examples. It earns its place, but it is so brief that it leaves relevant usage and behavioral context unstated, so it is not a perfect 5.

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 query tool with a fully described input schema and an output schema, the description covers the basic purpose adequately. However, with 28 sibling tools and no usage differentiation, an agent may not reliably know when to invoke this tool versus other related-entity or research tools.

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 schema already documents all three parameters. The description's examples ('competitors, integrations, alternatives') loosely mirror the schema's relation_types examples, but they do not add meaningful new semantics beyond what the schema 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?

The description states a specific verb ('find') and resource ('related AI tech entities'), and it gives concrete examples of what counts as related: competitors, integrations, alternatives. It does not explicitly distinguish itself from sibling tools like recommended_tools or resolve_tech_entity, so it does not earn a 5.

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 prefer this tool over sibling tools such as fetch_entity_facts, recommended_tools, or get_tech_brief, and no exclusions or prerequisites. The intended usage must be entirely inferred from the name and the examples in the description.

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