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

No annotations are provided, so the description carries the burden. It discloses that the delegate runs with full tool access and returns its response, and states a max depth of 3. However, it omits details on error handling, side effects, or cost implications, which are relevant for a delegation tool.

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?

Three short sentences, each adding value. The tool's action is front-loaded ('Delegate'), and there is no redundant or unnecessary text.

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?

The description covers the core purpose, usage hint, and a key limitation (max depth). An output schema exists to describe results. It could mention failure behavior or rate limits, but overall it is sufficient for a delegated agent tool.

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 explains each parameter. The description adds no extra meaning beyond the schema, e.g., it doesn't elaborate on the 'session' parameter's role in depth tracking.

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 it delegates tasks to a specialist AI agent and is useful for breaking complex tasks into subtasks. However, it does not explicitly distinguish from the sibling 'ai_chat' tool, which could cause confusion.

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 usage for complex tasks and mentions a recursion depth limit (Max depth: 3), but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives.

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