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authenticate

Idempotent

MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header Authorization: Bearer <token> for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "" } after the user pastes, or with no args to get the link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover idempotency and non-destructive hints; the description adds a valuable behavioral context: the token can be made permanent via a server header or session-only via pasted JWT, and calling with no args returns the login link. It does not contradict the annotations and offers meaningful extra insight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and information-dense; every sentence adds functional information. The opening 'MCP.AI for IDE agents (Cursor, etc.)' is slightly promotional and not strictly necessary, but the rest is well-structured and easy to follow.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the small parameter set and abundant annotations, this is reasonably complete for an auth tool. It explains the full flow in prose, but it doesn't explicitly state what the tool returns after a successful token-based login (the output schema is empty). That minor gap prevents a perfect score.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only an unannotated 'token' string, so the description carries the full interpretive burden. It explains that the token is the JWT the user pastes, that it is optional, and that calling with no args triggers the 'get link' flow. This makes the parameter behavior unmistakable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's main purpose: it logs in to MCP.AI for IDE agents via a browser token flow. It gives concrete actions (log in, copy token, get link, session login) so an agent can identify when to use it, though it stops short of explicitly distinguishing it from sibling tools like connect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides explicit guidance on when to choose the permanent config approach, when to use the session-only token paste, and when to call with no arguments. However, it does not explicitly say when not to use this tool or call out alternatives among the sibling tools.

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

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