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adkit_studio

Destructive

AI ad generation workspace. Create ad briefs, generate images (create/clone/resize/edit), list ad media, inspect media items, and share briefs. Use entity "ads" + action "generate" to generate images. Omit id to auto-create an ad, or provide id to add variants to an existing ad.

To use a user's own photo as a clone/edit reference: entity:"media" action:"request_upload_url" → PUT file bytes → pass { type:"temporary_upload", id: } in generate references.

Has no live campaign data, spend, or performance reporting; that data lives in adkit_manage. Studio ads are creative drafts, not launched ads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoAd or media ID. For generate: omit to auto-create an ad, or provide an ad ID to add variants. For media list: provide the ad ID whose media should be returned.
actionYesAds actions: list, get, create, update, delete, generate, share. Media actions: list, get, delete, request_upload_url.
entityYesStudio entity to operate on.
paramsNoRequest params. For generate: mode, aspectRatio, quantity, instructions, audience, model (for example: gpt-image-2), quality (OpenAI: Low/Medium/High; Gemini: 1K/2K/4K), colors, references (array of { type: "media"|"library-ad"|"temporary_upload", id: string }), title. For reads: fields (comma-separated or "all").
projectIdNoRequired. Get from adkit_projects. Auto-resolves only for single-project users.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already signal readOnly=false and destructiveHint=true; the description adds meaningful behavior beyond that: Studio entities are drafts, no live campaign data is exposed, and the temporary-upload workflow requires a PUT before passing the reference. It does not detail side effects of delete/update, but the key conceptual boundary is well 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?

The description is dense but efficiently organized: capability overview, critical action mapping, the upload workflow, and boundary with adkit_manage. Every sentence contributes guidance an agent needs, and no space is wasted restating the tool name or schema.

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?

For a multi-entity, multi-action tool with nested params and no output schema, the description covers the major decision points: which entity/action combos to use, id behavior, the upload sequence, and where live data lives. It does not describe return payloads, but that is a minor gap given the breadth of operations and the strong schema coverage.

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 enhances it materially with action-specific id semantics ('omit to auto-create' vs 'provide id to add variants'), the temporary_upload reference shape, and example enum values for model/quality. It leaves a few actions to the schema, but adds real operational meaning beyond the property descriptions.

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 role: 'AI ad generation workspace' and enumerates concrete operations (create briefs, generate images, list media, inspect media items, share briefs). It also distinguishes itself from adkit_manage by explicitly stating Studio ads are creative drafts, so an agent can separate this tool from its siblings.

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 explicit routing instructions: use entity 'ads' with action 'generate', omit or provide id depending on variant behavior, and use the media request_upload_url flow for user photos. It also states what the tool does NOT contain (live campaign data/spend/performance) and directs that data to adkit_manage, which is clear when-not guidance.

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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