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Plan a Muse gadget

plan_gadget

Deterministically plan a physical body for an AI agent using Meta Muse boards. Inputs: idea 3-2000 chars; platform one of muse-esp32, muse-linux, any (default any); budget_usd positive number 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). Returns fit, notes, warnings, intake questions, picks, terms and next steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaYesGadget idea or use case, 3-2000 characters.
sizeNoPreferred size or placement: pocket, desk, wall, hidden, any. Default any.any
limitNoNumber of picks to return: 1-5, default 3.
needsNoOptional explicit needs. Allowed: voice, screen, images, touch, camera, air-sensors, e-ink, battery, round, home-tunnel, big-screen, compute, linux.
platformNoPlatform filter: muse-esp32, muse-linux, or any. Default any.any
budget_usdNoOptional hardware budget in USD. Must be greater than 0, max 100000.
owned_device_idsNoCatalog device ids the user already owns. Max 50.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the word 'deterministically' and enumerates the return sections (fit, notes, warnings, intake questions, picks, terms, next steps), which hints at a non-destructive planning read. But it never states that nothing is written, whether it requires auth or a catalog, or that results are recommendations rather than executed purchases.

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

Conciseness3/5

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

The first sentence front-loads the purpose well, but the remainder is a semicolon-chained parameter dump that largely duplicates the input schema nearly verbatim. It is not padded with fluff, but two-thirds of the text does not earn its place next to a 100%-covered schema.

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?

An output schema exists, so the description needn't explain return values, and it does cover the purpose plus all inputs. The remaining gap is routing relative to siblings and any behavioral caveats for a 7-parameter planning tool, which is a moderate rather than severe omission.

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 every parameter is already documented with type, enum, default and bounds. The description restates the identical facts (ranges, defaults, allowed enum values) without adding format hints, interaction rules, or examples. Baseline 3 when the schema does the heavy lifting.

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

Purpose4/5

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

States a specific verb and resource: 'plan a physical body for an AI agent using Meta Muse boards', with the distinguishing adverb 'deterministically'. Clear purpose, but it never contrasts itself with sibling 'get_build_plan', which sounds like an adjacent planning/build step, so the agent must guess at the boundary.

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

Usage Guidelines3/5

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

The description is essentially an input inventory with no when-to-use or when-not-to-use guidance. Given the sibling set (assess_hackability, get_build_plan), the agent gets no signal about whether this is the first step, a prerequisite for get_build_plan, or an alternative to it.

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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