post_generate_embeddings
AI agents invoke post_generate_embeddings to trigger actions in Ollama_MCP_Guidance. 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 tool name suggests it sends a POST request to generate embeddings via the Ollama API, which triggers an external operation (inference/computation on a model). With no description available, confidence is reduced. Given the sibling tools like 'simple_chat' and 'simple_generate' that execute model inference, this tool likely does the same for embeddings.
From the tool's definition Tool name 'post_generate_embeddings' and server context of interacting with Ollama API; description is empty and uninformative.
Attacks that exploit this kind of access
post_generate_embeddings. It is categorised as a Execute tool in the Ollama_MCP_Guidance MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ollama_MCP_Guidance MCP server in PolicyLayer and add a rule for post_generate_embeddings: 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 Ollama_MCP_Guidance. Nothing to install.
post_generate_embeddings 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 post_generate_embeddings 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 post_generate_embeddings. 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.
post_generate_embeddings is provided by the Ollama_MCP_Guidance MCP server (shadovvsinger/ollama_mcp_guidance). 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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