Retrieve a specific document from Elasticsearch index by document ID
AI agents call get_document to retrieve information from Agent Knowledge MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool's functionality is purely retrieval-based. The description explicitly states 'retrieve' and specifies retrieval by document ID from an index, which is a read operation. There are no side effects, no data modification, no code execution, and no financial implications.
From the tool's definition Tool retrieves a specific document from an Elasticsearch index by document ID with no modification or deletion operations described.
Documented attack patterns abuse exactly the kind of access get_document gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Knowledge MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_document:
{
"version": "1",
"default": "deny",
"tools": {
"get_document": {}
}
} get_document is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve a specific document from Elasticsearch index by document ID. It is categorised as a Read tool in the Agent Knowledge MCP MCP Server, which means it retrieves data without modifying state.
Register the Agent Knowledge MCP server in PolicyLayer and add a rule for get_document: 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 Agent Knowledge MCP. Nothing to install.
get_document 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 get_document 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 get_document. 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.
get_document is provided by the Agent Knowledge MCP server (itshare4u/agentknowledgemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Knowledge MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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27 Agent Knowledge MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.