High Risk →

ingest_user_message

Store raw user message into session context. IMPORTANT: This tool is no longer the main profile extraction path. RECOMMENDED USE: - store raw user text for context - let the external model decide profile fields - then call update_user_profile_from_model(...) DEFAULT BEHAVIOR: - append raw text in...

Part of the Waysway server.

ingest_user_message can trigger actions in Waysway, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke ingest_user_message to trigger processes or run actions in Waysway. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

ingest_user_message can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ingest_user_message": {
      "limits": [
        {
          "counter": "ingest_user_message_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Waysway policy for all 20 tools.

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These attack patterns abuse exactly the kind of access ingest_user_message gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ingest_user_message only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ingest_user_message tool do? +

Store raw user message into session context. IMPORTANT: This tool is no longer the main profile extraction path. RECOMMENDED USE: - store raw user text for context - let the external model decide profile fields - then call update_user_profile_from_model(...) DEFAULT BEHAVIOR: - append raw text into user_info - do not aggressively infer profile fields OPTIONAL: - if use_fallback_extraction=True, run a lightweight fallback extractor. It is categorised as a Execute tool in the Waysway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ingest_user_message? +

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

What risk level is ingest_user_message? +

ingest_user_message is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ingest_user_message? +

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

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

ingest_user_message is provided by the Waysway MCP server (https://api.waysway.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Waysway tool call.

Deterministic rules across all 20 Waysway tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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