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Google Flow health check

flow_status
Read-only

Checks Google Flow readiness and diagnoses failures—browser down, signed out, verification challenge, blocked access, or UI changes—returning account, credits, and a fix.

Instructions

Checks that everything works and names the problem if not: state 'ready', or 'browser_down', 'signed_out', 'challenge' (Google wants a verification), 'blocked', or 'ui_changed' (Flow's page changed; lists which controls are missing). Includes the signed-in account, credits and a fix to tell the user. Run it first, and whenever a tool fails unexpectedly. Free; takes about 30 s.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, but the description adds substantial behavioral context: it is free, takes about 30 seconds, and returns the signed-in account, credits, and a suggested fix. It also explains what each failure state means, which is exactly the transparency needed for a diagnostic 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?

The description is compact and front-loaded: it first states what the tool does, then lists the diagnostic states, then gives usage guidance. Every sentence adds useful information without repetition.

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?

For a zero-parameter health-check tool with no output schema, the description is complete: it explains the possible states, what each means, what additional information is returned, and how long it takes. An agent has everything needed 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 has zero parameters, so there is nothing to document; the baseline for zero-parameter tools is 4.

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: it checks that everything works and names the problem if not. It enumerates the exact diagnostic states (ready, browser_down, signed_out, challenge, blocked, ui_changed), which an agent can use to tell this apart from sibling tools like flow_capabilities.

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?

Gives explicit usage instructions: run it first, and whenever a tool fails unexpectedly. It does not name an alternative diagnostic tool to use instead, but the context is clear enough that an agent knows when to invoke it.

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