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Morpha

upload_image

Upload an image into a project by fetching a public http(s) URL server-side (the still-image counterpart of upload_clip). The worker downloads the .png/.jpg/.jpeg/.gif/.webp/.svg, stores it in the project's asset bucket, and returns { filename, sizeBytes, contentType } — pass the returned filename to add_image_layer. Use this when you already have a direct image URL; to search an openly-licensed image pool instead, use find_public_image. The url must be a direct, publicly-fetchable http(s) link (not an auth-walled page). SVGs are rejected if they carry a , an inline event handler, a , a javascript: URL, or an external resource reference — supply a static, self-contained SVG. Buffered in Worker memory, so capped at 16 MiB.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesDirect, publicly-fetchable http(s) URL of the image file (.png/.jpg/.jpeg/.gif/.webp/.svg).
filenameNoOptional stored filename (.png/.jpg/.jpeg/.gif/.webp/.svg). Defaults to the basename of the URL path; sanitised to lowercase a-z0-9._-.
projectIdYesProject to add the image to.

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Annotations are absent, so the description carries the full burden, and it delivers: it discloses server-side download/store behavior, the exact return shape { filename, sizeBytes, contentType }, SVG rejection criteria (script tags, event handlers, foreignObject, javascript: URLs, external resource references), and the 16 MiB cap with its cause ('Buffered in Worker memory'). This is far richer behavioral disclosure than most mutation tools provide.

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 in the description earns its place: purpose, behavior plus return contract, usage routing, URL constraint, SVG security policy, and size limit. The most decision-critical information is front-loaded, and nothing duplicates what the input schema already documents.

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 tool with no output schema and no annotations, the description covers everything an agent needs to call it correctly: purpose, input constraints, return value shape, downstream chaining, and failure-relevant security and size limits. No critical operational detail is left to inference.

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 the baseline is 3, but the description adds meaningful constraints beyond what the schema states: URLs must not be auth-walled, SVGs must be static/self-contained or they will be rejected, and the returned filename is meant to be passed to add_image_layer. This gives the agent selection semantics and downstream chaining context the schema lacks.

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 ('Upload an image into a project') plus the mechanism ('fetching a public http(s) URL server-side'), making the operation unambiguous. It differentiates from siblings by naming itself as 'the still-image counterpart of upload_clip' and by pointing to find_public_image as the alternative image-pool search flow.

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?

Gives explicit when-to-use guidance: 'Use this when you already have a direct image URL; to search an openly-licensed image pool instead, use find_public_image.' It also states the exclusion criterion ('not an auth-walled page') and explicitly contrasts with upload_clip, so an agent knows exactly when to select this tool over its siblings.

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