Low Risk

get_bundle

Get today's content for all subscribed channels. Call this once per day. Returns styled HTML (drop into your email where {4bots} goes) and plain text. Check low_balance — if true, send your human to manage_url to top up.

Part of the 4bots Content server.

get_bundle 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_bundle to retrieve information from 4bots Content 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_bundle 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_bundle": {}
  }
}

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Get this rule live on your own 4bots Content 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 get_bundle 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 get_bundle 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_bundle tool do? +

Get today's content for all subscribed channels. Call this once per day. Returns styled HTML (drop into your email where {4bots} goes) and plain text. Check low_balance — if true, send your human to manage_url to top up.. It is categorised as a Read tool in the 4bots Content MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_bundle? +

Register the 4bots Content MCP server in PolicyLayer and add a rule for get_bundle: 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 4bots Content. Nothing to install.

What risk level is get_bundle? +

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

Can I rate-limit get_bundle? +

Yes. Add a rate_limit block to the get_bundle 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_bundle completely? +

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

get_bundle is provided by the 4bots Content MCP server (https://4bots.net/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 4bots Content tool call.

Deterministic rules across all 9 4bots Content tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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