Retrieve exact source content omitted by compressed context. Use the retrieval handle attached to a skeleton/reference fragment for exact historical recovery. A visible source path also works and lazily resolves the latest ingested version. With no argument, lists currently materialized CCR entri...
AI agents call entroly_retrieve to retrieve information from Entroly Context Engine without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool exclusively retrieves or queries existing cached/compressed context data. It reconstructs previously ingested source code or materialized context entries from handles or paths. The operations are read-only with no side effects on the underlying codebase or context state. The 'retrieve' verb and recovery semantics confirm data retrieval without creation, modification, or destruction.
From the tool's definition Tool description states 'Retrieve exact source content' and 'recovery' of existing data. Arguments are 'source path or content-addressed handle' for lookup, or 'lists currently materialized CCR entries without returning their content' with no argument.
Documented attack patterns abuse exactly the kind of access entroly_retrieve gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Entroly Context Engine, and nothing reaches the server without passing your rules. This is the rule we recommend for entroly_retrieve:
{
"version": "1",
"default": "deny",
"tools": {
"entroly_retrieve": {}
}
}entroly_retrieve is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve exact source content omitted by compressed context. Use the retrieval handle attached to a skeleton/reference fragment for exact historical recovery. A visible source path also works and lazily resolves the latest ingested version. With no argument, lists currently materialized CCR entries without returning their content. Args: source_or_handle: Source path or content-addressed ccr:... handle. It is categorised as a Read tool in the Entroly Context Engine MCP Server, which means it retrieves data without modifying state.
Register the Entroly Context Engine MCP server in PolicyLayer and add a rule for entroly_retrieve: 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 Entroly Context Engine. Nothing to install.
entroly_retrieve 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 entroly_retrieve 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 entroly_retrieve. 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.
entroly_retrieve is provided by the Entroly Context Engine MCP server (juyterman1000/entroly). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Entroly Context Engine, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 Entroly Context Engine tools catalogued and risk-classified — across an index of 43,000+ MCP servers.