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aj-dev-smith

duck-mcp

by aj-dev-smith

Reset the sim

duck_reset
DestructiveIdempotent

Resets the simulation to its initial state: returns duck to origin in standing pose and ball to spawn, discarding the current episode after a fall.

Instructions

Reset the sim: duck back to the origin in its default standing pose, ball back to its spawn. Discards the current episode — the escape hatch after a fall (there is no stand-up policy yet).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
rpy_degYesTrunk orientation [roll, pitch, yaw], degrees
sittingYes
uprightYesFalse once tilted past ~45 deg. There is no self-recovery policy: if the duck falls, use duck_reset.
vel_cmdYesCurrent sticky velocity intent [vx, vy, wz]
behaviorYesEpisodic trick currently running, else null
position_mYesTrunk world position [x, y, z], meters
sim_time_sYesSim clock, seconds. The sim runs in real time; this snapshot is stale on arrival.
ground_pickYes
vel_body_mpsYes
yaw_rate_rpsYesYaw rate, rad/s, counterclockwise positive
active_policyYesWhich ONNX policy is driving: standing, walking, sit, ground_pick, kick_left/right, roulade
ball_position_mNoBall world position [x, y, z], meters (ball scene only)
trunk_height_mmYesTrunk height above floor, mm (~116 standing)
Behavior4/5

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

Annotations already signal destructive and idempotent behavior. The description goes beyond them by revealing exactly what changes: the duck returns to origin in its standing pose, the ball returns to spawn, and the current episode is discarded. This is valuable behavioral context for a destructive tool.

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 tight sentences: the first states the reset outcome, the second explains the trigger and rationale. Every clause adds value, with the core action front-loaded and no redundant detail.

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

Completeness5/5

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

For a zero-parameter reset with annotations and an output schema, the description fully covers what happens, when to use it, and why it is the fallback. Nothing required for correct invocation is missing.

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

Parameters4/5

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

The tool has 0 parameters and 0 required inputs, so the description carries no parameter-semantics burden. The schema already fully covers the empty parameter set, and the description naturally communicates a parameterless call.

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?

States a specific verb and resource ('Reset the sim') and specifies the exact resulting state: 'duck back to the origin in its default standing pose, ball back to its spawn'. This makes the tool's purpose concrete and clearly distinct from sibling action tools like duck_drive or duck_trick.

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 description explicitly positions this as the 'escape hatch after a fall' and explains the need with 'there is no stand-up policy yet'. That gives clear trigger conditions. It does not explicitly name an alternative, but no sibling tool provides a reset action, so the context is sufficient.

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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