Ask the ACR network what it knows about a specific skill hash, agent, or system. Returns the raw behavioral signals ACR has observed: interaction counts, failure and anomaly rates, agent adoption counts, and related metadata. This is NOT a security check — ACR does not evaluate, score, or test. I...
Part of the ACR — Agent Composition Records server.
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AI agents call check_entity to retrieve information from ACR — Agent Composition Records 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 check_entity 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.
{
"version": "1",
"default": "deny",
"tools": {
"check_entity": {}
}
} See the full ACR — Agent Composition Records policy for all 30 tools.
These attack patterns abuse exactly the kind of access check_entity gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Ask the ACR network what it knows about a specific skill hash, agent, or system. Returns the raw behavioral signals ACR has observed: interaction counts, failure and anomaly rates, agent adoption counts, and related metadata. This is NOT a security check — ACR does not evaluate, score, or test. It only records what has been observed and surfaces the raw counts. Read-only lookup; no data is sent to ACR.. It is categorised as a Read tool in the ACR — Agent Composition Records MCP Server, which means it retrieves data without modifying state.
Register the ACR — Agent Composition Records MCP server in PolicyLayer and add a rule for check_entity: 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 ACR — Agent Composition Records. Nothing to install.
check_entity is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_entity 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.
Set action: deny in the PolicyLayer policy for check_entity. 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.
check_entity is provided by the ACR — Agent Composition Records MCP server (@tethral/acr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 ACR — Agent Composition Records tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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