debug_token

GET /debug_token — returns token type (USER / PAGE / APP / SYSTEM_USER), app_id, expires_at, scopes, is_valid.

Server Meta nourpups/meta-mcp
Category Read
Risk class Low
Parameters 00 required

What debug_token does on Meta

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

Why debug_token needs a policy

This tool queries and returns metadata about an authentication token without modifying any data, executing code, or triggering side effects. It is a straightforward inspection/debugging operation. Low severity because token metadata exposure alone does not enable unauthorized access or destructive actions (the token itself would be needed for that), though it could inform reconnaissance.

From the tool's definition Tool name is 'debug_token' and description states it 'returns token type, app_id, expires_at, scopes, is_valid' — a pure retrieval operation with no mutation or execution capability. The HTTP method is GET. Server is explicitly described as 'Read-only'.

Questions about debug_token

What does the debug_token tool do? +

GET /debug_token — returns token type (USER / PAGE / APP / SYSTEM_USER), app_id, expires_at, scopes, is_valid. It is categorised as a Read tool in the Meta MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on debug_token? +

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

What risk level is debug_token? +

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

Can I rate-limit debug_token? +

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

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

debug_token is provided by the Meta MCP server (nourpups/meta-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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