explain_oauth_flow

DataGSM OAuth 2.0 Authorization Code + PKCE 흐름을 단계별로 설명합니다.

Server Datagsm snowykte0426/datagsm-mcp
Category Read
Risk class Low
Parameters 00 required

What explain_oauth_flow does on Datagsm

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

Why explain_oauth_flow needs a policy

This tool retrieves and presents documentation about an OAuth process. It does not execute authentication, modify user credentials, create tokens, or perform any action on external systems—it merely explains how the flow works. This is a Read operation: passive information retrieval. The severity is low because explaining a process carries minimal risk of harm if misused by an AI agent.

From the tool's definition The tool name 'explain_oauth_flow' and description 'DataGSM OAuth 2.0 Authorization Code + PKCE 흐름을 단계별로 설명합니다' indicate it explains/describes an OAuth flow step-by-step, which is informational retrieval with no side effects.

Questions about explain_oauth_flow

What does the explain_oauth_flow tool do? +

DataGSM OAuth 2.0 Authorization Code + PKCE 흐름을 단계별로 설명합니다. It is categorised as a Read tool in the Datagsm MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_oauth_flow? +

Register the Datagsm MCP server in PolicyLayer and add a rule for explain_oauth_flow: 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 Datagsm. Nothing to install.

What risk level is explain_oauth_flow? +

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

Can I rate-limit explain_oauth_flow? +

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

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

explain_oauth_flow is provided by the Datagsm MCP server (snowykte0426/datagsm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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