Skip to main content
Glama

RooQuiz

finalize_image_upload

Step 2 of 2 for adding an image: call this AFTER you have PUT the file to the uploadUrl returned by prepare_image_upload. It verifies the uploaded object in storage, records it in the team media library and returns a media id + public URL. To use the image as a quiz cover or a landing-page cover, call update_form with flagImg or landingImage set to the returned media id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altNoOptional alt text for the image.
keyYesThe object key returned by prepare_image_upload.
filenameYesOriginal filename for admin display / download (same value passed to prepare_image_upload).
mimeTypeYesImage MIME type used at prepare time. Must be one of image/png, image/jpeg, image/gif, image/webp.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoPermanent object key
urlNoPublic URL of the stored image
mediaIdNoMedia id — pass it to update_form as flagImg / landingImage
filenameNoOriginal filename
filesizeNoSize in bytes, as measured on storage
mimeTypeNoDetected image MIME type

TDQS

A4.4/5.0
Behavior4/5

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

The description explains that the tool verifies storage, records the object, and returns a media id plus public URL. This goes beyond the annotations, which only indicate readOnly=false/destructive=false. It does not describe failure handling or idempotency, but the key behavioral steps are disclosed.

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, all front-loaded: the very first clause identifies the step and prerequisite. Every sentence adds a distinct, necessary piece of information: when to call, what it does, and what to do with the result. There is no filler or redundancy.

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?

Given that an output schema exists, the description need not list return fields. It covers the workflow position, prerequisite, effect, and downstream integration. It could optionally mention failure behavior or idempotency, but for invoking this step correctly, the description is complete.

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%, and each parameter is already described (key, filename, mimeType). The description adds the workflow context that these values must match the prepare step, but it largely repeats what the schema descriptions already say. Baseline 3 is appropriate.

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 opens with a specific verb and resource: 'Step 2 of 2 for adding an image' and states it 'verifies the uploaded object, records it in the team media library and returns a media id + public URL.' It clearly distinguishes itself from prepare_image_upload by explicitly naming it as the preceding step and from update_form as a later consumer of its media id.

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?

It gives the exact timing ('call this AFTER you have PUT the file to the uploadUrl returned by prepare_image_upload'), the alternative usage ('to use the image as a quiz cover or landing-page cover, call update_form with flagImg or landingImage'), and the sequencing. No ambiguity remains about when to invoke this tool versus its siblings.

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

A4.1/5.0
Disambiguation4/5

Most tools pair a distinct resource with a distinct verb, and the descriptions do a good job of separating related concepts like leads, records, examinees, and bookings. The only real ambiguity is between list_records (submission records, also called leads) and list_leads (CRM leads), plus a mild overlap between update_form and update_form_settings, but careful reading resolves both.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using standard verbs like get_, list_, create_, update_, delete_, add_, insert_, move_, and set_. Minor stylistic variation such as add_question vs. insert_question is still predictable and does not hurt usability.

Tool Count2/5

48 tools is a very heavy surface for an MCP server. While each tool appears purposeful, the server spans forms, questions, translations, analytics, leads, bookings, examinees, media, and team administration, making it feel like a full platform API rather than a focused server. Most agents will only ever need a subset of these tools.

Completeness4/5

The core quiz lifecycle is well covered: form creation/editing/deletion/restore/duplicate/translation, question CRUD/move, delivery settings, statistics/funnels, lead CRM, bookings, examinees, media upload, and tenant basics. The main gaps are minor — no member list/remove/role management beyond invite, no media library listing/deletion, and no bulk export of records — but these do not create dead ends in the primary quiz/lead/booking workflows.

Resources