Low Risk

petri_verify

Verify a PetriNetSeal: recompute the model hash, check it matches the sealed CID, and re-verify all declared invariants via reachability analysis.

Part of the Pflow server.

petri_verify is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call petri_verify to retrieve information from Pflow without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though petri_verify only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "petri_verify": {}
  }
}

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_verify 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_verify only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the petri_verify tool do? +

Verify a PetriNetSeal: recompute the model hash, check it matches the sealed CID, and re-verify all declared invariants via reachability analysis.. It is categorised as a Read tool in the Pflow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on petri_verify? +

Register the Pflow MCP server in PolicyLayer and add a rule for petri_verify: 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_verify? +

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

Can I rate-limit petri_verify? +

Yes. Add a rate_limit block to the petri_verify 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_verify completely? +

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

petri_verify 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.

Free to start. No card required.

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