list_insights

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

The description declares the operation as read-only, which is a key behavioral trait. However, it does not disclose error handling, rate limits, authentication requirements, or what happens when the project_id is invalid. Given no annotations, the description carries the full burden but is still somewhat opaque.

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 fairly long and has some redundancy (e.g., 'List insights' appears twice). It is front-loaded with purpose and structured with a paragraph and Args list, but could be more concise without losing clarity.

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?

Given the presence of an output schema, the description appropriately focuses on input semantics and what insights are. It covers pagination and filtering, which are key. Minor omissions like ordering or pagination field details prevent a perfect score.

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?

With 0% schema description coverage, the description compensates well by documenting all five parameters in the Args section, including required/optional status, defaults, and filtering purposes. This adds significant meaning beyond the schema's type definitions.

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 clearly states the verb 'List' and resource 'insights' for a Freeplay project, and distinguishes it from sibling tools like 'search' by specifying it returns automatically generated observations. The purpose is unambiguous.

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 description explains when to use the tool (to retrieve insights from a project) and mentions filtering by prompt template or agent, but does not provide explicit guidance on when not to use it or compare to alternatives like 'search' for more complex queries.

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