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

Annotations indicate non-read-only, idempotent, and non-destructive behavior. The description adds useful context about the browser login flow, permanent-vs-session persistence, and the input token being a JWT. It does not fully describe the response after token validation, but it discloses the key auth-mode behaviors.

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 short, front-loaded with the main login workflow, and contains little repeated or irrelevant text. It is slightly conversational but every sentence contributes to selecting and invoking the tool correctly.

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 tool with one optional parameter and no output schema, the description covers the two invocation modes, the token source, and the persistence trade-off. It does not explain return values or failure cases, but the low complexity makes that a minor omission.

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 0% schema description coverage, the description compensates fully for the only parameter: the 'token' is a user-pasted JWT, the exact expected call shape is shown, and the no-arguments case is explained as returning the login link.

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 the tool's purpose: authenticating to MCP.AI and supplying an access token for IDE agents. It is more detailed than a simple 'Authenticate' statement, but it does not explicitly distinguish itself from siblings like 'connect'.

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 actionable guidance: call with no args to get the login link, or call with a token for session-only login. It also contrasts session-only token entry with permanent config-based authorization, though it does not mention when to avoid this tool in favor of a sibling.

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