Medium Risk

subscribe_feed

Register a webhook or email to receive changelog update notifications. Returns a subscription ID.

Risk signalsAccepts URL/endpoint input (webhook_url)

Part of the Api Changelog Tracker server.

subscribe_feed can modify Api Changelog Tracker data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use subscribe_feed to create or modify resources in Api Changelog Tracker. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call subscribe_feed repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Api Changelog Tracker.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "subscribe_feed": {
      "limits": [
        {
          "counter": "subscribe_feed_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Api Changelog Tracker policy for all 6 tools.

Get this rule live on your own Api Changelog Tracker 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 subscribe_feed gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

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

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the subscribe_feed tool do? +

Register a webhook or email to receive changelog update notifications. Returns a subscription ID.. It is categorised as a Write tool in the Api Changelog Tracker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on subscribe_feed? +

Register the Api Changelog Tracker MCP server in PolicyLayer and add a rule for subscribe_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 Api Changelog Tracker. Nothing to install.

What risk level is subscribe_feed? +

subscribe_feed is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit subscribe_feed? +

Yes. Add a rate_limit block to the subscribe_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 subscribe_feed completely? +

Set action: deny in the PolicyLayer policy for subscribe_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 subscribe_feed? +

subscribe_feed is provided by the Api Changelog Tracker MCP server (https://api.lazy-mac.com/api-changelog-tracker/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Api Changelog Tracker tool call.

Deterministic rules across all 6 Api Changelog Tracker tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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