List Project Observation Types

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to repeat safety. The description adds pagination behavior and metadata, which is useful but does not disclose additional traits beyond the annotations. No contradiction.

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 5 sentences, well-structured, and covers purpose, use cases, pagination, required parameters, and API reference. It is slightly redundant in the first two sentences but overall efficient and front-loaded.

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?

Despite no output schema, the description explains that the response is a paginated JSON array with metadata. This is sufficient for a list tool. It also includes the API endpoint for reference. Could specify the structure of each observation type, but the naming provides cues.

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 100% schema coverage, the baseline is 3. The description adds context about pagination metadata ('response includes pagination metadata') which is not in the schema, but otherwise reiterates required parameters. The added value is marginal.

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 ('Return a list of all Project Observation Types'), the resource, and the scope ('associated with a Project'). It specifies use cases such as enumerating Observations, paginated overview, and filtering. While it could differentiate from company-level observation types, the 'Project' qualifier distinguishes it from the sibling 'list_observation_types'.

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 provides context on when to use the tool (to enumerate Observations, paginated overview, find IDs, filter) but does not explicitly state when not to use it or mention alternatives (e.g., company-level listing or observation items). The guidance is adequate but lacks exclusions.

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