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autoflow_heal_flow

Detect and dismiss blocking Google Flow error dialogs, rate limit popups, and warning snackbars. Keep autonomous media generation moving by clearing these interruptions automatically.

Instructions

Trigger self-healing: automatically detect and dismiss any blocking Google Flow error dialogs, rate limit popups, or warning snackbars.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv2.1.0

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does clearly state that the tool automatically detects and dismisses specific UI blockers, which is useful. However, it does not explain what happens when no dialogs are found, whether the heal is verified, or whether dismissal has side effects on the flow state.

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 entire description is one front-loaded sentence that states the action and then specifies the exact objects it handles. There is no filler, redundancy, or repetition of structured schema data.

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?

For a zero-parameter action with no output schema and no annotations, the description is adequate but leaves gaps. It does not say whether the tool returns success/failure, whether an active flow or tab must already be open, or whether the healing is verified after execution.

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 and the schema is fully covered, so there is no parameter ambiguity to resolve. The description adds no parameter details, but none are 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?

The description names a concrete action ('Trigger self-healing') and enumerates the exact targets: Google Flow error dialogs, rate limit popups, and warning snackbars. This is specific enough to distinguish it from siblings like autoflow_reload_tab or autoflow_cancel, which address different failure modes.

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 gives clear context for when to use the tool: whenever blocking Google Flow error dialogs, rate limit popups, or warning snackbars are present. It does not explicitly name alternatives or exclusion cases, but the trigger conditions are stated plainly.

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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