create_annotation_queue_assignment

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

With no annotations provided, the description must disclose behavioral traits such as side effects, idempotency, permissions, or error behavior. It does not address any of these, merely stating the action without explaining what happens when an assignment already exists, whether the user must be valid, or any potential impacts on the queue.

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 with no filler words. It is front-loaded with the primary verb and resource, and every word contributes to its meaning. It is appropriately sized for a simple action.

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?

Although an output schema exists and reduces the need to explain return values, the description lacks usage guidelines, behavioral transparency, and full parameter semantics. For a mutation tool with no annotations and an unexpained project parameter, this falls short of being a complete guide for an AI agent.

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 0%, so the description must compensate. It implicitly maps user_id to 'reviewer' and queue_id to 'annotation queue', but the optional 'project' parameter remains unexplained. No additional details about parameter formats, relationships, or constraints are given, leaving a significant gap.

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 action with a specific verb ('Assign') and identifies both the resource (annotation queue) and the actor (reviewer/user). This uniquely distinguishes it from sibling tools like delete_annotation_queue_assignment, making its purpose 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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, expected call context, or conditions under which one might prefer a different tool. There is no explicit or even implied guidance beyond the basic action.

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