get_api_info

get_api_info

Server RunPod Image MCP Server jashwanth0712/runpod-image-mcp
Category Read
Risk class Low
Parameters 00 required

What get_api_info does on RunPod Image MCP Server

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

Why get_api_info needs a policy

The tool name 'get_api_info' follows the pattern of Read operations (get, fetch, retrieve). It appears designed to query API information without modifying state or executing operations. The empty description reduces confidence slightly, but the naming convention and context of a read-only information query strongly suggest this is a Read category tool with low severity.

From the tool's definition Tool name 'get_api_info' indicates a retrieval operation for API information. The description is empty, limiting direct evidence.

Questions about get_api_info

What does the get_api_info tool do? +

get_api_info. It is categorised as a Read tool in the RunPod Image MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_api_info? +

Register the RunPod Image MCP Server MCP server in PolicyLayer and add a rule for get_api_info: 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 RunPod Image MCP Server. Nothing to install.

What risk level is get_api_info? +

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

Can I rate-limit get_api_info? +

Yes. Add a rate_limit block to the get_api_info 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 get_api_info completely? +

Set action: deny in the PolicyLayer policy for get_api_info. 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 get_api_info? +

get_api_info is provided by the RunPod Image MCP Server MCP server (jashwanth0712/runpod-image-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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