Skip to main content
Glama

build_gun_clips

Generate individual gun clips from a build's rig as FBX and labelled GIFs, using measured 60 fps timings for parts, bolt, cover, magazine, and catch.

Instructions

The gun's own clips on a build's rig, from real beats and timings at 60 frames a second: each measured (parts on their axes, the bolt's stroke, the cover open before the carrier, the magazine out of the well and seated, the bolt held on its catch), exported alone as FBX (A__.fbx) and shown as a GIF.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buildYesa build folder name from list_builds
clipsNocharge, chamber_check, fire, fire_last, reload, reload_empty, stock; leave out for all
renderNorender a labelled GIF a clip

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the output artifacts and the FBX filename convention (A_<name>_<clip>.fbx), but says nothing about whether it overwrites existing files, what permissions or build state are required, how long rendering takes, or what happens on a missing/invalid clip.

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 content is relevant but delivered as one long, heavily punctuated run-on sentence, so the key action is not front-loaded and the reader must parse a dense parenthetical. It avoids filler, but structure and scannability suffer.

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?

There is no output schema, but the description compensates by naming the exported FBX and GIF artifacts. With the required build parameter and clip/render options fully covered in the schema, the main remaining gap is behavioral: no mention of failure modes or build-state preconditions.

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%: build, clips, and render are all documented in the schema, including the full clip list and the 'leave out for all' default. The description adds no parameter syntax or format detail beyond echoing the measured clip elements, so the baseline 3 applies.

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?

The description states a specific verb and resource: it measures gun parts on a rig and exports animation clips as FBX plus a GIF. The measured elements (bolt stroke, cover timing, magazine seating, bolt catch) make the resource concrete. It stops short of explicitly distinguishing itself from sibling build_gun, so it lands at a clear-but-undifferentiated 4.

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?

Usage is only implied: the description explains the source of the clips ('from real beats and timings at 60 frames a second') and the schema notes clips can be omitted for all, which hints at the workflow. There is no explicit when-to-use or when-not-to-use, and no sibling such as build_gun or compare_to_reference is named as an alternative.

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