ad4m_write_memory · Mcp Ad4m MCP: Risk & Policy

WHAT IT DOES

What ad4m_write_memory does on Mcp Ad4m

AI agents use ad4m_write_memory to create or update resources in Mcp Ad4m — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Ad4m environment.

WHY IT NEEDS A POLICY

Why ad4m_write_memory needs a policy

This tool creates or modifies data (LinkExpressions in a Perspective) in a reversible manner. While it writes to persistent storage, the operation itself is not destructive—data can be updated or removed via ad4m_delete_memory.

From the tool's definition The tool description explicitly states "Write a signed LinkExpression... to a Perspective" and "Use for semantic memories, decisions, and cross-session facts." This is a data modification operation that persists information to a semantic graph/knowledge base.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ad4m_write_memory Rate-limited

ad4m_write_memory stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ad4m_write_memory": {
      "limits": [
        {
          "counter": "ad4m_write_memory_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Mcp Ad4m, so you can run agents against it safely.

FAQ

Questions about ad4m_write_memory

What does the ad4m_write_memory tool do? +

Write a signed LinkExpression (source → predicate → target) to a Perspective. Use for semantic memories, decisions, and cross-session facts. Auto-optimizes the graph every 10 writes. It is categorised as a Write tool in the Mcp Ad4m MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ad4m_write_memory? +

Register the Mcp Ad4m MCP server in PolicyLayer and add a rule for ad4m_write_memory: 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 Mcp Ad4m. Nothing to install.

What risk level is ad4m_write_memory? +

ad4m_write_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ad4m_write_memory? +

Yes. Add a rate_limit block to the ad4m_write_memory 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 ad4m_write_memory completely? +

Set action: deny in the PolicyLayer policy for ad4m_write_memory. 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 ad4m_write_memory? +

ad4m_write_memory is provided by the Mcp Ad4m MCP server (thefranceway/mcp-ad4m). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.