execute_flow · GASSAPI MCP Server MCP: Risk & Policy

WHAT IT DOES

What execute_flow does on GASSAPI MCP Server

AI agents invoke execute_flow to trigger actions in GASSAPI MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_flow needs a policy

This tool runs pre-defined API testing flows which can make HTTP requests to various endpoints, potentially modifying backend state depending on what endpoints are configured in those flows. While the flow itself is predefined (reducing some risk vs. arbitrary execution), the actual impact depends on what endpoints are included in the flow and their side effects.

From the tool's definition Tool name 'execute_flow' combined with description 'Execute a flow with sequential or parallel endpoint testing' indicates the tool runs automated testing workflows.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_flow Rate-limited

execute_flow stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_flow": {
      "limits": [
        {
          "counter": "execute_flow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches GASSAPI MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_flow

What does the execute_flow tool do? +

Execute a flow with sequential or parallel endpoint testing. It is categorised as a Execute tool in the GASSAPI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_flow? +

Register the GASSAPI MCP Server MCP server in PolicyLayer and add a rule for execute_flow: 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 GASSAPI MCP Server. Nothing to install.

What risk level is execute_flow? +

execute_flow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_flow? +

Yes. Add a rate_limit block to the execute_flow 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 execute_flow completely? +

Set action: deny in the PolicyLayer policy for execute_flow. 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 execute_flow? +

execute_flow is provided by the GASSAPI MCP Server MCP server (martin-1103/mcp2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.