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Morpha

add_from_collection

Add an item from the user's Collection into a project as a self-contained COPY. Pass the destination projectId, plus the sourceProjectId + elementId of an item from list_collection. Copies that layer (a whole group brings its children) plus its image/clip/font bytes into the destination at fresh ids and its original canvas position — fully detached, so it is immediately yours to edit and nothing links back to the source (deleting or changing the source never affects this copy). The element must actually be in the source project's collection and you must be able to read that project. An open editor on the destination picks the copy up within a few seconds — no refresh needed. Returns { addedElementId, count }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
elementIdYesThe item's element id (from list_collection) — any leaf or group.<id>.
projectIdYesDestination project the item is copied INTO.
sourceProjectIdYesThe item's home project id (from list_collection).

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

No annotations exist, so the description carries the full behavioral burden. It discloses copy semantics (self-contained, fresh ids, detached, source changes don't affect the copy), group-children inclusion, byte copying, live editor pickup, and return shape, all beyond what schema provides.

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?

A dense but efficient description; every clause earns its place. It front-loads the core purpose, then covers usage, prerequisites, runtime behavior, and return value without redundancy.

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 three-parameter operation with no output schema and no annotations, the description is essentially complete. It specifies required inputs, source/destination semantics, prerequisites, behavioral effects, and the return contract, leaving little an agent needs to infer.

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 covers 100% of parameters already, so baseline is 3. The description adds value by explaining the relationship between sourceProjectId and elementId ('from list_collection') and the consequence of those parameters (fresh ids, original position, full detachment). This lifts it slightly above baseline.

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 ('Add'), resource ('item from the user's Collection into a project'), and copy semantics. The direction (from collection to project) clearly distinguishes it from sibling tools like add_to_collection and add_image_layer, so an agent can select it without opening schemas.

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?

Gives clear context: it is the tool for copying an existing collection item into a project, with parameters sourced from list_collection. It states prerequisites (element must be in source collection, read access required) but does not explicitly name when to prefer an alternative like add_to_collection, so it stops short of a 5.

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.

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