AI agents call get-embedding to retrieve information from Doc Lib without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a deterministic read-only operation that transforms input text into an embedding vector. It does not retrieve, modify, or delete any data; it does not execute arbitrary code or trigger external operations; and it has no destructive or financial implications. This is a standard machine learning preprocessing operation that returns a computed result without side effects.
From the tool's definition Tool generates an embedding vector for input text using Ollama API. This is a computational transformation of text into a numerical representation with no data retrieval, modification, deletion, or external side effects beyond the embedding computation itself.
Attacks that exploit this kind of access
Generate an embedding vector for the given input text using the Ollama API. It is categorised as a Read tool in the Doc Lib MCP Server, which means it retrieves data without modifying state.
Register the Doc Lib MCP server in PolicyLayer and add a rule for get-embedding: 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 Doc Lib. Nothing to install.
get-embedding 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-embedding 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-embedding. 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-embedding is provided by the Doc Lib MCP server (shifusen329/doc-lib-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get-embedding is one line of Doc Lib's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →