Low Risk

find_causal_links

USE THIS to trace decision chains:

How to control find_causal_links ↓

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

Low Risk

The tool retrieves and traces causal relationships from the on-device memory layer to help AI agents understand context and decision history. This is a read-only operation with no side effects—it queries existing data without creating, modifying, or deleting information. The low severity reflects minimal risk: misuse would only expose stored context rather than cause irreversible harm.

From the tool's definition Tool name 'find_causal_links' with description 'trace decision chains' indicates querying/analyzing stored relationships and connections. No modification, deletion, or execution of external operations implied.

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

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

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

find_causal_links 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 ClawMem — 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 find_causal_links tool do? +

USE THIS to trace decision chains:. It is categorised as a Read tool in the ClawMem MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_causal_links? +

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

What risk level is find_causal_links? +

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

Can I rate-limit find_causal_links? +

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

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

find_causal_links is provided by the ClawMem MCP server (yoloshii/clawmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ClawMem tool call.

Deterministic rules across all 30 ClawMem tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

30 ClawMem tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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