Low Risk

list_engagements

List all pentest engagements, optionally filtered by status.

How to control list_engagements ↓

AI agents call list_engagements to retrieve information from Pentest Ai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves and displays existing pentest engagement data without creating, modifying, deleting, or executing any operations. The filtering capability is a read-time parameter, not a modification action. The blast radius of misuse is limited to information disclosure about past or ongoing engagements, which is less severe than code execution or data destruction.

From the tool's definition Tool name 'list_engagements' and description 'List all pentest engagements, optionally filtered by status' indicate a query/retrieval operation with no mutation or side effects.

Documented attack patterns abuse exactly the kind of access list_engagements gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Pentest Ai, and nothing reaches the server without passing your rules. This is the rule we recommend for list_engagements:

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

list_engagements is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pentest Ai — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the list_engagements tool do? +

List all pentest engagements, optionally filtered by status. It is categorised as a Read tool in the Pentest Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_engagements? +

Register the Pentest Ai MCP server in PolicyLayer and add a rule for list_engagements: 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 Pentest Ai. Nothing to install.

What risk level is list_engagements? +

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

Can I rate-limit list_engagements? +

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

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

list_engagements is provided by the Pentest Ai MCP server (0xsteph/pentest-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pentest Ai tool call.

Deterministic rules across all 51 Pentest Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

51 Pentest Ai tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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