Compile source code into belief artifacts (Truth → Belief pipeline). Scans a directory for source files (.py, .rs, .ts, .js), extracts code entities (classes, functions, structs, traits, imports), resolves cross-file dependencies, and writes belief artifacts to the vault with full frontmatter (cl...
AI agents call compile_beliefs 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 primary operation is scanning/reading source files and extracting code entities. However, it also writes belief artifact files to a vault with metadata, which constitutes a Write action. Since Write is more severe than Read, this should be classified as Write.
From the tool's definition Scans a directory for source files, extracts code entities, resolves cross-file dependencies, and writes belief artifacts to the vault
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access compile_beliefs 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 compile_beliefs:
{
"version": "1",
"default": "deny",
"tools": {
"compile_beliefs": {}
}
}compile_beliefs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Compile source code into belief artifacts (Truth → Belief pipeline). Scans a directory for source files (.py, .rs, .ts, .js), extracts code entities (classes, functions, structs, traits, imports), resolves cross-file dependencies, and writes belief artifacts to the vault with full frontmatter (claim_id, entity, status, confidence, sources, last_checked, derived_from). Args: directory: Path to scan. Defaults to the project root. max_files: Maximum files to process (default: 200). 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 compile_beliefs: 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.
compile_beliefs 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 compile_beliefs 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 compile_beliefs. 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.
compile_beliefs 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.