workflow_readiness

Explain whether curated AirMCP workflows are ready in the active runtime, including missing modules, add-ons, tools, and write opt-ins.

SERVERAirMCP SOURCEairmcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/heznpc-airmcp/workflow-readiness.md

WHAT IT DOES

What workflow_readiness does on AirMCP

AI agents call workflow_readiness to retrieve information from AirMCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why workflow_readiness is rated Low

This tool only reads and reports on the current runtime state — checking availability of modules, add-ons, and tools. It produces informational output with no side effects, data modification, or execution of external operations.

From the tool's definition 'Explain whether curated AirMCP workflows are ready in the active runtime, including missing modules, add-ons, tools, and write opt-ins'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs workflow_readiness safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AirMCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For workflow_readiness, this is the rule to start with:

workflow_readiness Allowed

workflow_readiness is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "workflow_readiness": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AirMCP, apply this rule, and every workflow_readiness call is checked against it from then on.

FAQ

Questions about workflow_readiness

What does the workflow_readiness tool do? +

Explain whether curated AirMCP workflows are ready in the active runtime, including missing modules, add-ons, tools, and write opt-ins. It is categorised as a Read tool in the AirMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on workflow_readiness? +

Register the Air MCP server in PolicyLayer and add a rule for workflow_readiness: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AirMCP. Nothing to install.

What risk level is workflow_readiness? +

workflow_readiness is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit workflow_readiness? +

Yes. Add a rate_limit block to the workflow_readiness rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block workflow_readiness completely? +

Set action: deny in the PolicyLayer policy for workflow_readiness. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides workflow_readiness? +

workflow_readiness is provided by the Air MCP server (airmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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