Skip to main content
Glama

Ask User to Pick Assets

request_user_context
Read-onlyIdempotent

FIRST tool to call for a new photoshoot only when the user has not supplied garment/outfit IDs or textual selectors such as tag names, saved ArtDirection names, location names, or outfit names. Opens the MCP app/gallery so the user can choose assets, add them to the Shoot Board, and press Confirm context. BLOCKS until the user confirms their selection. Do not use this when a no-UI path can resolve the request with list_tags/get_items_by_tag/list_garments or the ArtDirection lookup tools. Do not tell the user to drag assets into chat. If the user has no garments/outfits, ask them to attach garment/product images and use upload_garment_from_chat_file, upload_garment_from_public_url, or create_outfit_from_garment_ids before trying to create a brief. Do not request models when inventory shows avatars=0. Avatar/model is optional; only ask for one when the user wants a specific or consistent person. If they want a model and have none, ask for a person photo and use upload_avatar_from_chat_file, or use generate_avatar if they want Uwear to create a reusable model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesInstruction shown to the user, e.g. 'Select the clothing items you want to use and add them to the Shoot Board'
min_itemsNoMinimum number of items the user must provide
expected_typesYesAccepted item types (match panel tabs): 'clothing', 'models', 'outfits', 'generations', 'files'. Legacy 'file' is accepted as an alias for 'files'.

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint, but the description adds crucial behavioral context: 'BLOCKS until the user confirms their selection.' It also warns against telling users to drag assets into chat and advises to skip model requests when avatars=0. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is lengthy but every sentence serves a purpose: condition, behavior, exclusions, alternatives, and special cases. It is front-loaded with the primary purpose and subsequent guidance is logically organized. It earns its length.

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?

Given no output schema and the tool's complexity, the description is remarkably complete. It covers when to call, blocking behavior, no-UI alternatives, fallback upload procedures, and avatar handling. This is more than sufficient for an agent to decide and invoke the tool correctly.

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 parameters are already well-documented. The description adds context about expected_types by explaining when to request models (optional, only if specific person is wanted) and mentions 'garment/outfit IDs or textual selectors' which indirectly relates to prompt construction. This goes slightly beyond the schema.

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 this is the 'FIRST tool to call for a new photoshoot' when the user hasn't supplied asset IDs or selectors. It specifies the action: 'Opens the MCP app/gallery so the user can choose assets, add them to the Shoot Board, and press Confirm context.' This distinguishes it from sibling tools by explicitly withholding it when a no-UI path can resolve the request.

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 provides explicit criteria for when to use this tool ('only when the user has not supplied garment/outfit IDs or textual selectors') and when not to use it ('Do not use this when a no-UI path can resolve the request'). It even names alternatives like list_tags/get_items_by_tag/list_garments and upload_garment_from_chat_file, plus avatar fallback options.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.5/5.0
Disambiguation3/5

Most tools target distinct resources and have detailed descriptions, but several closely related families exist: create_credit_checkout_session vs mcp_create_credit_checkout_session, the propose_brief/confirm_brief/update_brief lifecycle, and the many avatar/upload entry points. An agent must read long caveats carefully to avoid selecting the wrong tool.

Naming Consistency4/5

The vast majority of tool names follow a predictable snake_case verb_noun pattern (list_*, get_*, create_*, update_*, propose_*). The mcp_* prefix group and varied creation verbs (create/upload/save/add/generate) are minor deviations, though mcp_create_credit_checkout_session duplicating create_credit_checkout_session adds some confusion.

Tool Count1/5

With 67 tools, this is an extreme mismatch by the rubric's own 50+ threshold, far beyond the typical 3-15 well-scoped range. Many tools are narrow lifecycle steps such as two-phase local uploads, app-only montage internals, and multiple ArtDirection authoring variants, making the agent-facing surface very heavy.

Completeness3/5

The core generation, brief, montage, and QA workflows are covered thoroughly with polling and result retrieval. However, notable lifecycle gaps exist: outfits, locations, avatars, and tags mostly have create/list/get but no update or delete, and delete_template is the only delete tool in the entire set.

Resources