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Export Work Items

sdd_export_work_items
Read-onlyIdempotent

Transforms TASKS.md specifications into ready-to-create work items for GitHub Issues, Azure Boards, or Jira, with routing instructions for automated creation.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYesTarget platform for work item export
feature_numberNoFeature number (zero-padded, e.g. '001')001
spec_dirNoSpec directory path (relative to workspace root).specs
include_subtasksNoInclude subtasks for each top-level work item
project_keyNoJira project key (required for Jira platform)
area_pathNoAzure DevOps area path (optional for Azure Boards)
iteration_pathNoAzure DevOps iteration path (optional for Azure Boards)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description's focus on transforming and returning routing_instructions adds useful behavioral context without contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no extraneous words, front-loaded with the core action and output, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters and no output schema, the description covers the primary value proposition and return type, but could elaborate on the return structure or that it reads from spec_dir and TASKS.md for complete clarity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the description adds no new parameter details beyond the schema. The mention of platform-specific payloads is implied by the 'platform' enum, resulting in minimal added value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool transforms TASKS.md into platform-specific work item payloads and returns routing_instructions, distinguishing it from sibling tools like sdd_generate_user_stories or sdd_write_tasks that focus on content generation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The explanation of returning routing_instructions for creation via MCP server implies a transformation-to-delivery workflow, but does not explicitly state when to use or not use this tool versus alternatives like sdd_batch_import.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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