describe_model
AI agents call describe_model to retrieve information from Orionbelt Semantic Layer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The naming convention and context indicate this tool queries or retrieves descriptive information about models within the semantic layer without modifying data. While confidence is moderate due to the empty description, the semantic context (semantic layer exploration, 'get_' and 'describe_' patterns) strongly suggests Read-only behavior. No evidence of execution, modification, deletion, or financial impact.
From the tool's definition Tool name 'describe_model' suggests retrieving metadata or information about a model. The empty description provides no explicit evidence of side effects.
Attacks that exploit this kind of access
describe_model. It is categorised as a Read tool in the Orionbelt Semantic Layer MCP Server, which means it retrieves data without modifying state.
Register the Orionbelt Semantic Layer 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 Orionbelt Semantic Layer. 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 Orionbelt Semantic Layer MCP server (ralfbecher/orionbelt-semantic-layer-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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