Low Risk

check_compliance

Evaluates a specific existing item (by item_type and item_id) against all applicable governance rules. Use AFTER an item is logged to verify compliance, or as a pre-check during the governance gate. Returns conflict details: {has_conflict: bool, conflicts: [...], action:

How to control check_compliance ↓

What check_compliance does on Engrams

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

Low Risk

Why check_compliance needs a policy

check_compliance is a read-only query operation that retrieves and evaluates compliance information about an existing item. It has no capability to modify, delete, execute code, or trigger external operations. The worst outcome of misuse is unnecessary compliance checking or information disclosure, both low-severity.

From the tool's definition Tool evaluates and returns conflict details about existing items against governance rules. The description explicitly states it 'Returns conflict details' and is used 'to verify compliance' or as a 'pre-check'.

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

How to control check_compliance

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

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

check_compliance 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 Engrams — 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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Related tools and policies

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Questions about check_compliance

What does the check_compliance tool do? +

Evaluates a specific existing item (by item_type and item_id) against all applicable governance rules. Use AFTER an item is logged to verify compliance, or as a pre-check during the governance gate. Returns conflict details: {has_conflict: bool, conflicts: [...], action:. It is categorised as a Read tool in the Engrams MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_compliance? +

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

What risk level is check_compliance? +

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

Can I rate-limit check_compliance? +

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

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

check_compliance is provided by the Engrams MCP server (stevebrownlee/engrams). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Engrams tool call.

Start from Engrams, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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42 Engrams tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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