Medium Risk

sdd_export_work_items

Transforms TASKS.md into platform-specific work item payloads (GitHub Issues, Azure Boards, or Jira). Returns routing_instructions for the AI client to create items via the appropriate MCP server.

How to control sdd_export_work_items ↓

What sdd_export_work_items does on Specky

AI agents use sdd_export_work_items to create or update resources in Specky — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Specky environment.

Medium Risk

Why sdd_export_work_items needs a policy

The tool generates payloads intended for creating work items on external systems. While it returns routing instructions rather than directly executing the creation, its purpose is to facilitate write operations (creating issues/tasks) on third-party platforms.

From the tool's definition Tool description states it 'Transforms TASKS.md into platform-specific work item payloads' and 'Returns routing_instructions for the AI client to create items' — this creates/modifies data on external platforms (GitHub, Azure Boards, Jira) when executed.

Documented attack patterns abuse exactly the kind of access sdd_export_work_items gives an agent:

How to control sdd_export_work_items

PolicyLayer is an MCP gateway — it sits between your AI agents and Specky, and nothing reaches the server without passing your rules. This is the rule we recommend for sdd_export_work_items:

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

sdd_export_work_items stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Specky — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about sdd_export_work_items

What does the sdd_export_work_items tool do? +

Transforms TASKS.md into platform-specific work item payloads (GitHub Issues, Azure Boards, or Jira). Returns routing_instructions for the AI client to create items via the appropriate MCP server. It is categorised as a Write tool in the Specky MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on sdd_export_work_items? +

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

What risk level is sdd_export_work_items? +

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

Can I rate-limit sdd_export_work_items? +

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

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

sdd_export_work_items is provided by the Specky MCP server (paulasilvatech/specky). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Specky tool call.

Start from Specky, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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