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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

A3.9/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the annotations by explaining that config-based auth is permanent and non-expiring, while token-based auth is session-only. Nothing in the description contradicts the annotations; the idempotent, non-destructive, non-read-only hints are consistent with the described auth flow.

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 front-loaded with the key action, then explains the two authentication flows in sequence. The opening phrase "MCP.AI for IDE agents" is a bit of context clutter, but the rest of the description is efficient and useful.

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

Completeness3/5

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

The description explains the main flows and the no-args link behavior, which is important since there is no output schema to clarify return values. However, it does not describe what the tool actually returns when a token is passed, nor how errors or invalid/expired JWTs are surfaced. Given the tool's authentication complexity, this is a meaningful completeness gap.

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

Parameters4/5

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

The `token` parameter has no schema description, but the tool description compensates reasonably well by giving the exact call shape `{ token: "<jwt>" }` and explaining that it should be called after the user pastes the JWT. It also makes clear the parameter is optional by describing the no-args flow. More detail about token format, expiration, or failed-token behavior is not covered.

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 identifies authentication as its purpose and explains how to use it: log in through the browser, copy a token, or get a link with no arguments. However, it does not explicitly differentiate itself from the sibling `connect` tool, so it falls just short of full sibling-level clarity.

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?

The description gives practical usage guidance: add the token to the server config as a permanent `Authorization: Bearer <token>` header, or pass the token for a session-only login, or call with no args to receive the link. It does not explicitly state when to avoid this tool or choose one of the sibling tools instead.

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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