plan_gadget
shallowdev.hackshop/hackshop-mcp · Verify this server
Deterministically plan a physical body for an AI agent using Meta Muse boards. Ask the intake questions first (intake_gadget, or the `questions` this returns until `intake.complete` is true), then pass the human's choices as `answers`. Inputs: `idea` 3-2000 chars (optional when `answers` or `needs` are given); `answers` {size, interaction, sensing, budget} using the intake option values; `platform` one of muse-esp32, muse-linux, any (default any); `budget_usd` number greater than 0, up to 100000; `owned_device_ids` up to 50 catalog ids; `needs` values: voice, screen, images, touch, camera, air-sensors, e-ink, battery, round, home-tunnel, big-screen, compute, linux; `size` one of pocket, desk, wall, hidden, any (default any); `limit` 1-5 (default 3). Boards that meet the hard needs and the budget rank first, cheapest first. Returns fit, notes, warnings, intake status, questions, picks with difficulty, terms and next steps.
1 trials · measured 2 days ago
plan_gadget scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against dev.hackshop/hackshop-mcp, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/a507ca99-8922-49f6-afb1-7939a24bb695)