Poll for LinkedIn OAuth completion. Returns the API key once the user completes the OAuth flow.
AI agents call auth_linkedin_poll to retrieve information from Lightpaper Mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a polling/status-check operation that returns authentication credentials. While API keys are sensitive, the tool itself does not create, modify, or delete data; it only reads the result of a user-initiated OAuth flow. The key is returned after user action completes, not generated or overwritten by the tool. Classification as Read reflects that this is a query-and-retrieve operation.
From the tool's definition Tool name 'auth_linkedin_poll' and description 'Poll for LinkedIn OAuth completion. Returns the API key once the user completes the OAuth flow.' — the tool queries the status of an authentication process and retrieves a credential upon completion.
Attacks that exploit this kind of access
Poll for LinkedIn OAuth completion. Returns the API key once the user completes the OAuth flow. It is categorised as a Read tool in the Lightpaper Mcp MCP Server, which means it retrieves data without modifying state.
Register the Lightpaper MCP server in PolicyLayer and add a rule for auth_linkedin_poll: 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 Lightpaper Mcp. Nothing to install.
auth_linkedin_poll 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 auth_linkedin_poll 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 auth_linkedin_poll. 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.
auth_linkedin_poll is provided by the Lightpaper MCP server (pypi:lightpaper-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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