get_model
Get details of a specific model including available versions
This record as markdown: /tools/deepfates-mcp-replicate/get-model.md
What get_model does on Replicate MCP Server
AI agents call get_model to retrieve information from Replicate MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_model is rated Low
This tool queries and retrieves model metadata (details and versions) without modifying, executing, deleting, or creating any data. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_model' and description 'Get details of a specific model including available versions' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Replicate MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_model, this is the rule to start with:
get_model is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Replicate MCP Server, apply this rule, and every get_model call is checked against it from then on.
Questions about get_model
Get details of a specific model including available versions. It is categorised as a Read tool in the Replicate MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Replicate MCP Server MCP server in PolicyLayer and add a rule for get_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 Replicate MCP Server. Nothing to install.
get_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 get_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 get_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.
get_model is provided by the Replicate MCP Server MCP server (deepfates/mcp-replicate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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