hippo_self_model_update

CYCLE #67 (2026-05-14) — replace the self-model with a

SERVERVerimem SOURCEaureliocpr-ctrl/verimem

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/verimem/hippo-self-model-update.md

WHAT IT DOES

What hippo_self_model_update does on Verimem

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

RISK

Why hippo_self_model_update is rated Medium

The tool modifies internal agent state ('self-model') rather than retrieving it, qualifying as Write. Severity is high because corrupting or maliciously altering an AI agent's self-model could cause systematic misbehavior, hallucinations, or policy violations, though it appears reversible.

From the tool's definition Tool name contains 'update' and description states 'replace the self-model with a' (incomplete but indicative of modification). 'Self-model' suggests internal state or configuration of the agent/system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hippo_self_model_update safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Verimem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hippo_self_model_update, this is the rule to start with:

hippo_self_model_update Rate-limited

hippo_self_model_update 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": {
    "hippo_self_model_update": {
      "limits": [
        {
          "counter": "hippo_self_model_update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Verimem, apply this rule, and every hippo_self_model_update call is checked against it from then on.

FAQ

Questions about hippo_self_model_update

What does the hippo_self_model_update tool do? +

CYCLE #67 (2026-05-14) — replace the self-model with a. It is categorised as a Write tool in the Verimem MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on hippo_self_model_update? +

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

What risk level is hippo_self_model_update? +

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

Can I rate-limit hippo_self_model_update? +

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

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

hippo_self_model_update is provided by the Verimem MCP server (aureliocpr-ctrl/verimem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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