Medium Risk

petri_submit

Submit a Petri net model to the public catalog. Only core Petri net structure is accepted (places, transitions, arcs) — no extensions or code. Models are content-addressed and deduplicated by hash.

Part of the Pflow server.

petri_submit can modify Pflow 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 petri_submit to create or modify resources in Pflow. 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 petri_submit 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 Pflow.

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

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

See the full Pflow policy for all 22 tools.

Get this rule live on your own Pflow server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so petri_submit 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 petri_submit tool do? +

Submit a Petri net model to the public catalog. Only core Petri net structure is accepted (places, transitions, arcs) — no extensions or code. Models are content-addressed and deduplicated by hash.. It is categorised as a Write tool in the Pflow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on petri_submit? +

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

What risk level is petri_submit? +

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

Can I rate-limit petri_submit? +

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

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

petri_submit is provided by the Pflow MCP server (stackdump/pflow-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pflow tool call.

Deterministic rules across all 22 Pflow tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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