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

Annotations indicate a non-read-only, non-idempotent, non-destructive operation, but the description adds important behavioral context: the update is a MERGE, omitted fields retain current values, and membership is untouched. It also discloses the return shape by pointing to team.get. This goes beyond what annotations alone convey.

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 tight and front-loaded: purpose first, then merge semantics and exclusions, then return value. Every sentence earns its place by either clarifying behavior or routing to alternatives. There is no filler or redundancy.

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?

For a simple 3-parameter update tool, the description covers the operation, the merge behavior, what is intentionally not touched, and the return value shape. There is no output schema, but the description compensates by referencing team.get's response shape. Nothing needed to call this tool correctly is missing.

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?

The schema already describes each parameter completely, and the description reinforces the key semantic distinction that omitted fields are preserved. This is valuable because it explains the behavioral meaning of omitting parameters, which the schema only hints at with 'Omit to leave unchanged.' The description adds usable guidance beyond the raw field 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 identifies a specific verb and resource: 'Rename a team or change its description.' It distinguishes itself from related tools by explicitly contrasting merge semantics with replace-style tools and by directing membership operations to team.add_member/team.remove_member. An agent can unambiguously determine what this tool does and what it intentionally does not do.

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 gives explicit when-to-use and when-not-to-use guidance: use it for renaming or description changes, and use team.add_member/team.remove_member for membership changes. It also warns against assuming replace semantics by naming sibling tools with wholesale replacement behavior. This fully routes an agent to the correct tool context.

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