Gets the schema of a given model
AI agents call describe_model to retrieve information from MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata (schema definition) about a model without modifying, executing, or deleting anything. It is a pure read operation with no destructive or operational side effects.
From the tool's definition Tool name 'describe_model' and description 'Gets the schema of a given model' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Gets the schema of a given model. It is categorised as a Read tool in the MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Server MCP server in PolicyLayer and add a rule for describe_model: 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 MCP Server. Nothing to install.
describe_model 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 describe_model 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 describe_model. 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.
describe_model is provided by the MCP Server MCP server (node-in-layers/mcp-server). 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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