context.bundle_for_agent · Knowledge To Action MCP

WHAT IT DOES

What context.bundle_for_agent does on Knowledge To Action

AI agents invoke context.bundle_for_agent to trigger actions in Knowledge To Action. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why context.bundle_for_agent needs a policy

context.bundle_for_agent triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

context.bundle_for_agent Rate-limited

context.bundle_for_agent stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "context.bundle_for_agent": {
      "limits": [
        {
          "counter": "context.bundle_for_agent_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Knowledge To Action, so you can run agents against it safely.

FAQ

Questions about context.bundle_for_agent

What does the context.bundle_for_agent tool do? +

Build an agent-ready context packet from a note and related vault context. It is categorised as a Execute tool in the Knowledge To Action MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on context.bundle_for_agent? +

Register the Knowledge To Action MCP server in PolicyLayer and add a rule for context.bundle_for_agent: 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 Knowledge To Action. Nothing to install.

What risk level is context.bundle_for_agent? +

context.bundle_for_agent is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit context.bundle_for_agent? +

Yes. Add a rate_limit block to the context.bundle_for_agent 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 context.bundle_for_agent completely? +

Set action: deny in the PolicyLayer policy for context.bundle_for_agent. 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 context.bundle_for_agent? +

context.bundle_for_agent is provided by the Knowledge To Action MCP server (tac0de/knowledge-to-action-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.