High Risk →

drive_context

Auto-pull the most relevant artifacts from prior agent sessions for the task you are about to do. Combines semantic relevance with recency. Call this at the START of any non-trivial task to ground the agent in prior context — replaces manual copy-paste of artifacts between sessions.

Part of the AgentDrive server.

drive_context can trigger actions in AgentDrive, 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 drive_context to trigger processes or run actions in AgentDrive. 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.

drive_context 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": {
    "drive_context": {
      "limits": [
        {
          "counter": "drive_context_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full AgentDrive policy for all 20 tools.

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

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View all 20 tools →

These attack patterns abuse exactly the kind of access drive_context 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 drive_context 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 drive_context tool do? +

Auto-pull the most relevant artifacts from prior agent sessions for the task you are about to do. Combines semantic relevance with recency. Call this at the START of any non-trivial task to ground the agent in prior context — replaces manual copy-paste of artifacts between sessions.. It is categorised as a Execute tool in the AgentDrive MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on drive_context? +

Register the AgentDrive MCP server in PolicyLayer and add a rule for drive_context: 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 AgentDrive. Nothing to install.

What risk level is drive_context? +

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

Can I rate-limit drive_context? +

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

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

drive_context is provided by the AgentDrive MCP server (https://mcp.agentdrive.sh/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AgentDrive tool call.

Deterministic rules across all 20 AgentDrive tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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