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

Annotations indicate readOnly=false, idempotent=true, but no high-risk mutations are implied. The description adds significant behavioral context: it explains the authentication flow, the two ways to authenticate (config header vs token), and the consequence of each (permanent vs session). It also clarifies that calling with no args yields a link. This goes well beyond annotations, covering side effects and setup requirements.

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 dense but not overly long. It front-loads the core purpose ('log in in the browser, copy the access token') and then explains the two usage modes. Each sentence provides necessary information—no filler. However, it could be slightly reorganized to separate instructions from context, but it remains effective and readable.

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 simple input schema (one optional param, no output schema), the description is complete. It covers all usage scenarios: obtaining the link, passing a token, and the recommended permanent config method. It also addresses potential user questions (expiration, persistence) implicitly. There are no obvious gaps for the agent to act effectively.

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 has only one optional parameter with no description (schema coverage 0%). The description fully compensates by explaining the meaning of 'token' (a JWT) and how it is used (passed for session login, omitted to get a link). It also clarifies the relationship between this parameter and the alternative permanent configuration. This is excellent semantic coverage for a single parameter.

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 tool's purpose: to authenticate with MCP.AI for IDE agents. It specifies a concrete action (authenticate) and resource (MCP.AI), and distinguishes itself from siblings like 'connect' and 'report_bug' by focusing solely on authentication. It also explains the two modes (permanent config vs session token), which directly addresses the 'what' and 'how'.

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 clear instructions for both use cases: adding a token to the server config for permanent access, or passing a token for a session-only login. It also explains that calling with no arguments returns a login link. It doesn't explicitly compare to sibling tools, but this is acceptable because the tool's purpose is inherently distinct. The guidance is practical and actionable.

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