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Submit Uwear Feedback

submit_uwear_feedback
Idempotent

Submit a bug report or feature request to Uwear and return a private receipt. This creates a support record and can notify Uwear staff. Call it only when the user explicitly asks to submit, send, or report feedback, or after they confirm the exact summary. Never submit automatically because an error occurred, and never include the full conversation, credentials, secrets, raw provider payloads, or private URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesThe report the user explicitly approved. Include useful reproduction details, but never add secrets, credentials, full conversation history, raw provider payloads, or private URLs.
subjectNoShort summary of the confirmed report.
request_idYesStable unique ID for this submission. Reuse the same value only when retrying the same report.
feedback_typeYesUse bug_report for broken behavior or feature_request for an idea or improvement.
related_generation_idNoOptional Uwear generation ID directly related to the report.
related_generation_result_idNoOptional Uwear generation-result ID directly related to the report.

TDQS

A4.6/5.0
Behavior5/5

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

The description discloses important side effects beyond annotations: 'This creates a support record and can notify Uwear staff' and 'return a private receipt.' It also adds privacy boundaries (no credentials, secrets, raw payloads, private URLs). Annotations are not contradicted; readOnlyHint=false aligns with 'creates a support record.'

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?

Three sentences, front-loaded with the core purpose, followed by concise and necessary usage constraints. Every sentence adds value without redundancy or fluff.

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?

The description covers purpose, side effects, when to call, and content restrictions, which is comprehensive for a mutation tool with no output schema. However, it only vaguely mentions 'return a private receipt' without specifying the receipt format or further confirmation behavior, leaving slight ambiguity about the return value.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds general constraints about message content ('never include...') but does not provide additional per-parameter meaning beyond the schema's own descriptions. It does not compensate significantly for any coverage gap, but none exists.

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 states 'Submit a bug report or feature request to Uwear and return a private receipt,' which is a specific verb+resource combination and clearly distinguishes this tool from siblings like get_art_direction or create_tag. It also mentions the return behavior, adding useful scope.

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 explicit when-to-use guidance: 'Call it only when the user explicitly asks to submit, send, or report feedback, or after they confirm the exact summary.' It also provides clear when-not-to-use rules: 'Never submit automatically because an error occurred' and forbids including sensitive data. This is thorough and preempts misuse.

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

A3.5/5.0
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