Low Risk

get_auth_session

Polls the status of a login session created by create_auth_session. Use this after create_auth_session; poll every 2-3 seconds until the status is no longer 'pending'. Do not use this for any other purpose. Returns one of three states: 'pending' (user has not logged in yet — keep polling), 'activ...

Risk signalsBulk/mass operation — affects multiple targets

Part of the agentView server.

get_auth_session is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_auth_session to retrieve information from agentView without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_auth_session only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_auth_session": {}
  }
}

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These attack patterns abuse exactly the kind of access get_auth_session gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_auth_session only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_auth_session tool do? +

Polls the status of a login session created by create_auth_session. Use this after create_auth_session; poll every 2-3 seconds until the status is no longer 'pending'. Do not use this for any other purpose. Returns one of three states: 'pending' (user has not logged in yet — keep polling), 'active' (login succeeded; tokenExpiresAt is an ISO 8601 timestamp for when re-authentication is required. For security the raw bearer token is intentionally not returned over MCP, so keep using your session_request_id on protected calls), or 'expired' (login window or token timed out — call create_auth_session again). When status is active the current MCP session is automatically authenticated; you can call protected tools immediately.. It is categorised as a Read tool in the agentView MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_auth_session? +

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

What risk level is get_auth_session? +

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

Can I rate-limit get_auth_session? +

Yes. Add a rate_limit block to the get_auth_session 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_auth_session completely? +

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

get_auth_session is provided by the agentView MCP server (https://agentview.de/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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