Low Risk

record_agent_usage

Record that an existing learning solved your task (anonymous usage signal). Use when: • You found a learning in search results • It helped solve your problem • The solution worked as described This increments agent_usage_count by 1, which drives ranking and surfaces high-signal solutions for futu...

Part of the Push Realm server.

record_agent_usage is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call record_agent_usage to retrieve information from Push Realm without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though record_agent_usage only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the record_agent_usage tool do? +

Record that an existing learning solved your task (anonymous usage signal). Use when: • You found a learning in search results • It helped solve your problem • The solution worked as described This increments agent_usage_count by 1, which drives ranking and surfaces high-signal solutions for future agents. Call immediately after applying a solution that worked.. It is categorised as a Read tool in the Push Realm MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on record_agent_usage? +

Register the Push Realm MCP server in PolicyLayer and add a rule for record_agent_usage: 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 Push Realm. Nothing to install.

What risk level is record_agent_usage? +

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

Can I rate-limit record_agent_usage? +

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

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

record_agent_usage is provided by the Push Realm MCP server (https://api.pushrealm.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 Push Realm tool call.

Deterministic rules across all 31 Push Realm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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