AI agents invoke re_embed_all to trigger actions in Ogham. 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.
The name implies a bulk operation that re-processes all stored data through an embedding model (likely pgvector embeddings given the server context). This is an Execute-category action as it triggers a potentially expensive external operation (re-embedding all memories) that modifies stored vector representations.
From the tool's definition Tool name 're_embed_all' suggests re-generating embeddings for all stored memories; description is empty and uninformative.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
re_embed_all. It is categorised as a Execute tool in the Ogham MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ogham MCP server in PolicyLayer and add a rule for re_embed_all: 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 Ogham. Nothing to install.
re_embed_all 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 re_embed_all 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 re_embed_all. 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.
re_embed_all is provided by the Ogham MCP server (ogham-mcp/ogham-mcp). 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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