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usage_guide

Instructions for correctly using this MCP server. Call at the start of a session to learn tools, auth, CLI prerequisites, and stash file handling.

Part of the Camber - Remote Agentic Data Science server.

usage_guide can trigger actions in Camber - Remote Agentic Data Science, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke usage_guide to trigger processes or run actions in Camber - Remote Agentic Data Science. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

usage_guide can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "usage_guide": {
      "limits": [
        {
          "counter": "usage_guide_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Camber - Remote Agentic Data Science policy for all 5 tools.

Get this rule live on your own Camber - Remote Agentic Data Science 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 usage_guide 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 usage_guide only ever does what you allow.

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

What does the usage_guide tool do? +

Instructions for correctly using this MCP server. Call at the start of a session to learn tools, auth, CLI prerequisites, and stash file handling.. It is categorised as a Execute tool in the Camber - Remote Agentic Data Science MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on usage_guide? +

Register the Camber - Remote Agentic Data Science MCP server in PolicyLayer and add a rule for usage_guide: 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 Camber - Remote Agentic Data Science. Nothing to install.

What risk level is usage_guide? +

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

Can I rate-limit usage_guide? +

Yes. Add a rate_limit block to the usage_guide 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 usage_guide completely? +

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

usage_guide is provided by the Camber - Remote Agentic Data Science MCP server (https://camber-mcp.cambercloud.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Camber - Remote Agentic Data Science tool call.

Deterministic rules across all 5 Camber - Remote Agentic Data Science tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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