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

With no annotations, the description carries the full burden of behavioral disclosure. It does not explain how the tool behaves when neither project_id nor project_name is provided (both are optional in the schema), nor does it mention return format, error handling, or whether the project identifier is required for sensible results. This omitted behavior is a significant transparency gap.

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 a single, concise sentence that directly states the tool's function without any filler. It is front-loaded and every word contributes meaningful information, making it optimally concise.

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 lack of output schema and annotations, the description is too sparse to be complete. It does not clarify the return value shape, the optionality of the project identifier, or how the two parameters interact. The tool has hidden complexity (both params nullable) that the description does not address, making it incomplete for reliable usage.

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 coverage is 100% with descriptions for both parameters, so the baseline is 3. The tool description adds the context that these parameters identify the project whose teams are sought, and the schema already notes project_name as an alternative to project_id. The description does not add further semantic detail beyond that, so it stays at the baseline.

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 'List teams linked to a project' clearly identifies the action (list) and the resource (teams linked to a project), which distinguishes it from the sibling tool list_teams by specifying the project linkage. The verb is specific and the scope is unambiguous, so the tool's purpose is immediately clear.

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 implies the tool should be used when the user needs to see teams connected to a specific project, but it does not explicitly state when to use it over alternatives like list_teams or link_team_project. There is no exclusions or comparative guidance, so usage context is only indirectly inferred.

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