Medium Risk

flowforge_approve_tool_call

Approve a pending tool-call approval. The paused run resumes and the tool is invoked, optionally with modified arguments. To deny the call instead (which fails the run's current step), use flowforge_reject_tool_call. Only works on approvals in 'pending' status.

Part of the Flowforge server.

flowforge_approve_tool_call can modify Flowforge data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use flowforge_approve_tool_call to create or modify resources in Flowforge. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call flowforge_approve_tool_call repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Flowforge.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "flowforge_approve_tool_call": {
      "limits": [
        {
          "counter": "flowforge_approve_tool_call_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Flowforge policy for all 49 tools.

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These attack patterns abuse exactly the kind of access flowforge_approve_tool_call gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so flowforge_approve_tool_call only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the flowforge_approve_tool_call tool do? +

Approve a pending tool-call approval. The paused run resumes and the tool is invoked, optionally with modified arguments. To deny the call instead (which fails the run's current step), use flowforge_reject_tool_call. Only works on approvals in 'pending' status.. It is categorised as a Write tool in the Flowforge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on flowforge_approve_tool_call? +

Register the Flowforge MCP server in PolicyLayer and add a rule for flowforge_approve_tool_call: 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 Flowforge. Nothing to install.

What risk level is flowforge_approve_tool_call? +

flowforge_approve_tool_call is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit flowforge_approve_tool_call? +

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

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

flowforge_approve_tool_call is provided by the Flowforge MCP server (flowforge-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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