hippo_self_model_refresh

CYCLE #68 (2026-05-14) — deterministic self-model

SERVERVerimem SOURCEaureliocpr-ctrl/verimem

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What hippo_self_model_refresh does on Verimem

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

RISK

Why hippo_self_model_refresh is rated Low

Even though hippo_self_model_refresh only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hippo_self_model_refresh 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_refresh, this is the rule to start with:

hippo_self_model_refresh Allowed

hippo_self_model_refresh is read-only, so it stays allowed. 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_refresh": {}
  }
}

ALLOW ONLY 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_refresh call is checked against it from then on.

FAQ

Questions about hippo_self_model_refresh

What does the hippo_self_model_refresh tool do? +

CYCLE #68 (2026-05-14) — deterministic self-model. It is categorised as a Read tool in the Verimem MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on hippo_self_model_refresh? +

Register the Verimem MCP server in PolicyLayer and add a rule for hippo_self_model_refresh: 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_refresh? +

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

Can I rate-limit hippo_self_model_refresh? +

Yes. Add a rate_limit block to the hippo_self_model_refresh 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_refresh completely? +

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

hippo_self_model_refresh 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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