Low Risk

did_we_discuss_this

Substring search over the episodic memory log (decisions + interventions) for prior discussions of a topic. Use to avoid re-deciding settled questions.

How to control did_we_discuss_this ↓

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

Low Risk

This tool only searches and retrieves information from an episodic memory log to find prior discussions. It has no side effects, does not modify data, does not execute code, and does not affect external systems. The blast radius of misuse is minimal—returning irrelevant or incorrect historical context would only affect decision-making quality, not cause operational damage.

From the tool's definition "Substring search over the episodic memory log" - the tool retrieves and queries historical discussion data without modifying, deleting, or executing external operations.

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

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

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

did_we_discuss_this 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 Carto MCP Server — 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.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the did_we_discuss_this tool do? +

Substring search over the episodic memory log (decisions + interventions) for prior discussions of a topic. Use to avoid re-deciding settled questions. It is categorised as a Read tool in the Carto MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on did_we_discuss_this? +

Register the Carto MCP Server MCP server in PolicyLayer and add a rule for did_we_discuss_this: 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 Carto MCP Server. Nothing to install.

What risk level is did_we_discuss_this? +

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

Can I rate-limit did_we_discuss_this? +

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

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

did_we_discuss_this is provided by the Carto MCP Server MCP server (theanshsonkar/carto). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Carto MCP Server tool call.

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

Free to start. No card required.

22 Carto MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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