AI agents invoke embed_corpus to trigger actions in Pgmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Embedding all documents is a large-scale computational operation that processes and transforms existing data. It is not a simple read, nor a targeted write, but an execution of a bulk pipeline that modifies the internal state of all documents (adding vector embeddings). This is Execute category.
From the tool's definition 'Embed all documents in a corpus to enable semantic search and retrieval' — triggers a bulk processing operation across all documents in a corpus
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Embed all documents in a corpus to enable semantic search and retrieval. It is categorised as a Execute tool in the Pgmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pg MCP server in PolicyLayer and add a rule for embed_corpus: 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 Pgmcp. Nothing to install.
embed_corpus is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the embed_corpus 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 embed_corpus. 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.
embed_corpus is provided by the Pg MCP server (veloper/pgmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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