Medium Risk

tascan_dispatch_instruction

Step 3 of the Closed-Loop Autonomous Operations Protocol. Dispatches remediation to the worker via MULTI-CHANNEL delivery: (1) issue thread message, (2) in-app notification, (3) progress feed update, (4) SMS if phone on file, (5) optional remediation task list creation. Closes the loop from digit...

Part of the TaScan server.

tascan_dispatch_instruction can modify TaScan 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 tascan_dispatch_instruction to create or modify resources in TaScan. 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 tascan_dispatch_instruction 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 TaScan.

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

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

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

Step 3 of the Closed-Loop Autonomous Operations Protocol. Dispatches remediation to the worker via MULTI-CHANNEL delivery: (1) issue thread message, (2) in-app notification, (3) progress feed update, (4) SMS if phone on file, (5) optional remediation task list creation. Closes the loop from digital AI analysis to physical worker execution.. It is categorised as a Write tool in the TaScan MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on tascan_dispatch_instruction? +

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

What risk level is tascan_dispatch_instruction? +

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

Can I rate-limit tascan_dispatch_instruction? +

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

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

tascan_dispatch_instruction is provided by the TaScan MCP server (tascan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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