Query the CogOps Knowledge Vault for existing beliefs. Use this to check what the system already knows before compiling new understanding. Supports lookup by entity name or listing all. Args: entity: Entity name to look up (fuzzy match) list_all: If True, return all beliefs with frontmatter summary
AI agents call vault_query 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.
This is a read-only query operation that retrieves existing data from a knowledge vault. It performs a lookup by entity name or lists existing beliefs with no side effects. The tool cannot modify, delete, or execute operations—it only retrieves information, placing it squarely in the Read category with low severity.
From the tool's definition Tool description explicitly states 'Query the CogOps Knowledge Vault for existing beliefs' and 'check what the system already knows'. The arguments are 'entity' for lookup and 'list_all' to return existing beliefs.
Documented attack patterns abuse exactly the kind of access vault_query 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 vault_query:
{
"version": "1",
"default": "deny",
"tools": {
"vault_query": {}
}
}vault_query is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Query the CogOps Knowledge Vault for existing beliefs. Use this to check what the system already knows before compiling new understanding. Supports lookup by entity name or listing all. Args: entity: Entity name to look up (fuzzy match) list_all: If True, return all beliefs with frontmatter summary. 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 vault_query: 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.
vault_query 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 vault_query 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 vault_query. 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.
vault_query 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.