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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

A4.1/5.0
Behavior4/5

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

Annotations indicate idempotent hint true, but description adds behavioral traits: it can create a permanent connection via config or a session-only login, and it can return a login link when called with no args. This goes beyond the annotations, providing useful context about side effects. No contradiction with annotations.

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

Conciseness3/5

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

The description is a bit verbose and informal, starting with 'MCP.AI for IDE agents (Cursor, etc.):' and containing a long run-on sentence. While it is not excessively long, it could be more succinctly structured with clearer separation of steps.

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?

For a simple tool with one optional parameter and no output schema, the description is fairly complete: it explains both invocation modes and the concept of session vs permanent. However, it does not explicitly state what the tool returns (e.g., the link format) or what happens on error, leaving a small gap.

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?

With 0% schema coverage, the description fully compensates by explaining the token parameter: 'call with { token: "<jwt>" } after the user pastes, or with no args to get the link.' It clearly describes both the parameter's purpose and the behavior without it, adding meaning beyond the schema.

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 purpose: 'MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token.' This is a specific verb (log in) and resource (access token), making the purpose understandable. However, it does not explicitly differentiate itself from sibling tools like 'connect', though the mention of 'MCP.AI' gives some context.

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 explicit usage alternatives: 'Best: add it to this server's config as a header ... Or paste it here for a session-only login.' It explains when to use permanent vs session login, which is clear context. However, it does not mention when NOT to use this tool versus sibling tools, so it misses the explicit differentiation for a 5.

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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