embedding_models

List available embedding models with their characteristics.

Server Exocortex shawnhack/exocortex
Category Read
Risk class Low
Parameters 00 required

What embedding_models does on Exocortex

AI agents call embedding_models to retrieve information from Exocortex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why embedding_models needs a policy

This tool only retrieves and displays information about available embedding models—a passive read operation with no side effects, no code execution, and no data modification. It is purely informational, similar to a help or status command. The blast radius of misuse is minimal; an agent cannot cause harm by listing available models.

From the tool's definition Tool name 'embedding_models' and description 'List available embedding models with their characteristics' indicate a retrieval operation that queries system configuration without modifying or executing any code.

Questions about embedding_models

What does the embedding_models tool do? +

List available embedding models with their characteristics. It is categorised as a Read tool in the Exocortex MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on embedding_models? +

Register the Exocortex MCP server in PolicyLayer and add a rule for embedding_models: 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 Exocortex. Nothing to install.

What risk level is embedding_models? +

embedding_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit embedding_models? +

Yes. Add a rate_limit block to the embedding_models 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.

How do I block embedding_models completely? +

Set action: deny in the PolicyLayer policy for embedding_models. 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.

What MCP server provides embedding_models? +

embedding_models is provided by the Exocortex MCP server (shawnhack/exocortex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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