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Morpha

save_version

Save a version of the current project state. ALWAYS call this once after each meaningful set of changes you make on the user's behalf — the user flicks between versions to compare or roll back, so an unsaved edit is one they can't easily revisit. Use a short descriptive name (e.g. "add slide-in animation"); the user sees this verbatim in the picker. One version per logical change-set, not one per individual tool call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoShort label describing what this set of changes accomplished. Defaults to a timestamp if omitted, but a description is much more useful to the user.
projectIdYesProject to save a version of (filename stem).

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses that the operation creates a save point, explains the user-facing picker behavior ('user sees this verbatim'), and highlights the importance of saving for rollback/comparison. It does not mention side effects like overwriting or failure conditions, but for a save operation these are minor omissions.

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?

Every sentence earns its place: the purpose is front-loaded, the usage rule follows, and naming guidance comes last. It is compact, well-ordered, and free of filler, achieving high information density without verbosity.

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 simple save operation with two parameters and no output schema, the description is remarkably complete. It covers when to use, how to name, why it matters, and the appropriate frequency. Nothing an agent needs to call it correctly 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?

Schema coverage is 100%, so baseline is 3. The description adds meaningful value by explaining the `name` parameter's user-visible role in the picker and recommending short descriptive labels, while also noting the timestamp default. This goes beyond the schema's plain 'short label' definition.

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 the verb ('save') and resource ('a version of the current project state'), and its role in the versioning workflow is unambiguous. It distinguishes itself from sibling tools like list_versions or restore_version by focusing on the creation of a version, not retrieval or restoration.

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?

Provides explicit, prescriptive guidance: ALWAYS call after each meaningful set of changes, and specifically states 'not one per individual tool call.' It also gives a naming convention and explains the user-facing consequence, making the trigger condition and granularity crystal clear.

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