get_api_details

get_api_details

Server Ultimate-MCP-Server logos-parthenos-ai/ultimate_mcp_server
Category Read
Risk class Low
Parameters 00 required

What get_api_details does on Ultimate-MCP-Server

AI agents call get_api_details to retrieve information from Ultimate-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_details needs a policy

Based on the name 'get_api_details', this tool appears to retrieve or query API metadata/information without modifying data. The 'get_' prefix is characteristic of Read operations. However, the empty description reduces confidence in this classification. The severity is low because retrieval operations typically have minimal blast radius if misused by an AI agent.

From the tool's definition Tool name 'get_api_details' suggests querying or retrieving API information. Description is empty, limiting evidence.

Questions about get_api_details

What does the get_api_details tool do? +

get_api_details. It is categorised as a Read tool in the Ultimate-MCP-Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_api_details? +

Register the Ultimate-MCP-Server MCP server in PolicyLayer and add a rule for get_api_details: 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 Ultimate-MCP-Server. Nothing to install.

What risk level is get_api_details? +

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

Can I rate-limit get_api_details? +

Yes. Add a rate_limit block to the get_api_details 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_details completely? +

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

get_api_details is provided by the Ultimate-MCP-Server MCP server (logos-parthenos-ai/ultimate_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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