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launch-super-planner

Launch an autonomous planning agent that designs architecture and creates implementation plans as .md files for non-trivial tasks.

Instructions

Launch an autonomous planning agent. Designs architecture and creates implementation plans as .md files. Always uses claude-opus-4.6 regardless of model parameter. Use this for any non-trivial task — if the work touches 3+ files or has ambiguous requirements, plan first.

Workflow: researcher → PLANNER → coder → tester Output goes to .agent-workspace/plans/[topic]/. After completion, read task:///{id} to get workspace path, then pass ALL .md files from that workspace as context_files to launch-super-coder. Send everything — builder-briefing.md, tester-checklist.md, task specs, the full workspace.

Status: Read task:///all every ~30s to monitor all tasks (status, deps, questions). Statuses: running, waiting → <dep>, waiting_answer ⏸, completed, failed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory override (absolute path). Usually omit — server auto-detects project root. Set only if the agent needs a different root.
modelNoIgnored — planner always uses claude-opus-4.6. Parameter kept for backward compatibility only.
labelsNoTags for grouping related tasks, e.g. "auth", "frontend", "v2-migration". Max 10 labels, 50 chars each.
promptYesPlanning brief. MUST include: PROBLEM STATEMENT (what to solve), CONSTRAINTS (what's ruled out), VERIFIED FACTS (known info), SCOPE (in/out), EXPECTED OUTPUT (what coder needs). Min 300 chars.
depends_onNoTask IDs that must complete before this starts. Handles execution ORDER only — you still must specify context_files with known paths or spawn after reading predecessor output via task:///{id}.
context_filesNoOptional reference files (research docs, existing specs). Pass ALL files from prior researcher workspace — don't filter. Max 20 files, 200KB each, 500KB total.
Behavior5/5

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

Discloses behavioral traits beyond annotations: 'Always uses claude-opus-4.6 regardless of model parameter', output location '.agent-workspace/plans/[topic]/', and asynchronous monitoring via 'Read task:///all every ~30s'. The annotations (readOnlyHint=false, openWorldHint=true) are consistent with these details.

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

Conciseness4/5

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

The description is well-structured with bolded sections (Workflow, Status) and front-loaded purpose. It is dense but each sentence contributes unique information, though the status list and detailed handoff instructions make it longer than strictly necessary.

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?

For a complex tool with no output schema, the description covers the full lifecycle: planning, workspace output, handoff to launch-super-coder, and status monitoring. It implies the return of a task ID via 'read task:///{id}' but does not explicitly state the return format.

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 baseline is 3. The description mentions the model parameter only to confirm it is overridden, duplicating the schema's existing note rather than adding new meaning.

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?

Description opens with 'Launch an autonomous planning agent' and explains it 'Designs architecture and creates implementation plans as .md files', providing a specific verb+resource. The workflow diagram 'researcher → PLANNER → coder → tester' and mention of launch-super-coder distinguish it clearly from sibling tools.

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

Usage Guidelines5/5

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

Explicitly instructs 'Use this for any non-trivial task' with a concrete heuristic ('touches 3+ files or has ambiguous requirements, plan first'). It also directs the user to pass the generated .md files to launch-super-coder, clarifying the tool's role in the pipeline.

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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