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Glama

Morpha

inspect_layers

Full per-element drill-in — the 'open this layer' half of the browser. Returns each named element's COMPLETE record: all of its own fields plus its animation tracks (every keyframe), colour/fill tracks, track-loop (extrapolation) modes, and style. Pass the elementIds you read from describe_video; pull detail only for the handful of layers you're about to mutate, not the whole project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesOpaque project id (a v4 UUID, from list_projects/create_project). Selects which existing project this call mutates.
elementIdsYesElement ids to inspect (image.<id>, video.<id>, text.<id>, shapes.<id>, group.<id>). Read them from describe_video's tree.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

There are no annotations, so the description carries the burden of showing this is a read-only inspection operation. It does so through 'drill-in', 'Returns', and 'about to mutate' as a future step, and it names the exact categories of data returned. It does not explicitly state 'does not modify the project' or mention auth/rate-limit caveats, which is a minor gap.

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?

The description is three sentences with no filler: it front-loads the core purpose, then the return payload, then the invocation constraint. Every sentence earns its place and it does not repeat the schema property definitions.

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?

Since no output schema is provided, the description's enumeration of returned content is essential and largely sufficient. It also explains where elementIds come from and how many to pass. However, the exact output shape—whether a map keyed by elementId or a flat array—is not specified, leaving a small completeness gap.

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?

Both parameters are already fully documented in the schema, so this starts at a baseline of 3. The description adds useful selection guidance for elementIds: read them from describe_video and pull detail only for the layers about to be mutated. It adds nothing beyond the schema for projectId.

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?

The description clearly states what the tool does: 'Full per-element drill-in' that 'Returns each named element's COMPLETE record', and it enumerates the returned content including animation tracks, keyframes, colour/fill tracks, loop modes, and style. It also distinguishes itself from describe_video and the mutating sibling tools by calling itself the 'open this layer' half of the browser and framing mutation as a later step.

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?

The description gives an explicit workflow: pass the elementIds read from describe_video, and inspect only the handful of layers you are about to mutate, not the whole project. This tells the agent when to call the tool, where to get inputs, and how to limit scope, which is strong usage guidance.

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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TDQS

A3.6/5.0
Disambiguation3/5

The tool set has several clusters that overlap conceptually: add_keyframe/add_keyframes/set_keyframes_batch, move_band/move_layer/shift_group/set_group_window, and fade_layer/set_layer_transition/set_layer_visible all target similar actions. However, each tool's description is distinct and detailed enough for an agent to disambiguate after careful reading. The sheer volume of 95 tools still creates meaningful selection risk.

Naming Consistency4/5

Tool names overwhelmingly follow a verb_noun snake_case pattern (add_, remove_, set_, list_, rename_, create_, delete_), which is predictable and readable. Minor inconsistencies exist: plural variants like add_keyframes vs add_keyframe, mixed specificity like remove_keyframe vs remove_color_keyframe, and a few oddballs like reid_project and clip_processing_status. Overall the pattern is strong and helps navigation.

Tool Count2/5

95 tools is far beyond the well-scoped range and will overwhelm agents; even a comprehensive video editor could consolidate keyframe batch operations, overlay/track manipulations, and page/group window controls. Many tools are highly specific (reid_project, safe_zones, move_band) and place burden on the agent to pick among near-synonym verbs. While the broad domain justifies many operations, this count is excessive for a coherent tool surface.

Completeness3/5

The surface covers a broad editing lifecycle: layers, keyframes, text, captions, audio, pages, groups, versions, projects, workspaces, and collections, including batch operations. However, there is no MCP tool to render/export the final MP4 (explicitly delegated to an SDK) and no upload_video tool for bringing in a clip file, leaving major end-to-end gaps. For the stated purpose of building and editing videos, these are significant omissions that force agents to stop short of delivery.

Resources