Low Risk

scout.subscribe_lead_feed

Subscribe to a continuous feed of new seller-signal leads matching a filter. As leads are created and approved, Scout POSTs each one to your webhook URL up to your monthly_lead_budget. Ideal for AI agents that act on leads automatically. Currently in beta — emails Spencer with your subscription r...

Risk signalsAccepts URL/endpoint input (webhook_url)

Part of the Scout server.

scout.subscribe_lead_feed 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 scout.subscribe_lead_feed to retrieve information from Scout 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 scout.subscribe_lead_feed 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": {
    "scout.subscribe_lead_feed": {}
  }
}

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Get this rule live on your own Scout server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access scout.subscribe_lead_feed 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 scout.subscribe_lead_feed 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 scout.subscribe_lead_feed tool do? +

Subscribe to a continuous feed of new seller-signal leads matching a filter. As leads are created and approved, Scout POSTs each one to your webhook URL up to your monthly_lead_budget. Ideal for AI agents that act on leads automatically. Currently in beta — emails Spencer with your subscription request; webhook delivery starts after manual provisioning.. It is categorised as a Read tool in the Scout MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on scout.subscribe_lead_feed? +

Register the Scout MCP server in PolicyLayer and add a rule for scout.subscribe_lead_feed: 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 Scout. Nothing to install.

What risk level is scout.subscribe_lead_feed? +

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

Can I rate-limit scout.subscribe_lead_feed? +

Yes. Add a rate_limit block to the scout.subscribe_lead_feed 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 scout.subscribe_lead_feed completely? +

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

scout.subscribe_lead_feed is provided by the Scout MCP server (https://scout.realestate/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Scout tool call.

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