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anythink-cloud

Anythink-MCP

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login_google

Sign in to Anythink using Google: opens the browser for consent, stores the session token, and prepares you to select an account and project.

Instructions

Sign in to the Anythink platform with Google. Opens the user's browser to Google's consent screen and waits for them to approve, then stores the session token. The browser step must be completed by the user; everything before and after is tool-driven. This does NOT pick a billing account or project — after it returns, call 'accounts_list' then 'accounts_use', and 'projects_list' then 'projects_use'. Needs a local browser, so it only works over stdio (not the hosted HTTP server).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.2.27
    • removedInput schema / description
      Removed value: -"Sign in to the Anythink platform with Google. Opens the user's browser to Google's consent screen and waits for them to approve, then stores the session token. The browser step must be completed by the user; everything before and after is tool-driven. This does NOT pick a billing account or project — after it returns, call 'accounts_list' then 'accounts_use', and 'projects_list' then 'projects_use'. Needs a local browser, so it only works over stdio (not the hosted HTTP server)."
    • removedInput schema / title
      Removed value: -"login_google"
  2. Addedv0.2.21

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the interactive browser step, that the user must complete it, that a session token is stored afterward, and the stdio-only environment constraint. It stops short of token lifetime, failure/retry behavior, or what happens if the user denies consent, which are meaningful gaps for an auth tool.

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

Conciseness5/5

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

Four tight sentences, front-loaded with the core action, then the mechanism, then the scope boundary, then the environment constraint. No sentence is filler.

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

Completeness5/5

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

No parameters and no output schema, so the description must carry everything — and it does: mechanism, user responsibility, post-call sequencing, and transport limitation. An agent has what it needs to call it correctly.

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 tool takes zero parameters, so there is nothing to disambiguate and the baseline is 4. The description adds no parameter detail because none is needed.

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

Purpose5/5

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

States a specific verb and resource ('Sign in to the Anythink platform with Google') and immediately differentiates itself from the sibling login variants by describing the browser consent flow specifically. An agent can tell this apart from login_direct or oauth_google_configure without opening another schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use context (interactive Google sign-in), explicit exclusions ('does NOT pick a billing account or project'), and the exact follow-on call sequence ('accounts_list' then 'accounts_use', 'projects_list' then 'projects_use'). It also states an environment precondition: works only over stdio, not the hosted HTTP server.

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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