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Generate a project creative brief

generate_project_vision

PAID but very cheap (one configured text-model call) and SYNCHRONOUS — the result comes back in this response, there is no jobId to poll. Turns a rough game idea into { aiVision, aiPromptGuidance, aiNegativeGuidance }: a written creative direction plus the positive/negative guidance to reuse in later prompts, which is what keeps a whole project visually consistent instead of every asset drifting. Stores NOTHING — feed the wording into create_project (description/style) and into your own prompts. DEFAULTS TO A COST PREVIEW — see the dryRun argument.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesWorking title of the game.
styleNoArt style, if the user already has one in mind.
dryRunNoDEFAULTS TO TRUE. While true this returns only a cost quote ({ estimatedCredits, balance, spendCapDaily, spentLast24h, capRemaining }) and executes nothing. Show the user estimatedCredits, then ask a normal confirmation question. Prefer the client's native question UI with Approve / Decline / Discuss choices when available; otherwise accept any unambiguous conversational approval. Never require a fixed phrase or ask the user to type a magic word. Only after approval, re-call with dryRun:false to actually spend.
gameTypeYesThe view the game is played in — the brief is written for it.
referencesNoUp to 6 tagged reference images the model can look at.
descriptionNoThe idea in the user's own words: setting, mood, mechanics.
idempotencyKeyNoOptional Idempotency-Key for the real (dryRun:false) call. Omit and one is minted per call. Reuse the SAME value when retrying a call that failed with ENTITY_BUSY / 402 / 429 so the retry cannot double-dispatch.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / dryRun / description
      Previous value: -"DEFAULTS TO TRUE. While true this returns only a cost quote ({ estimatedCredits, balance, spendCapDaily, spentLast24h, capRemaining }) and executes nothing. Show the user estimatedCredits and get an explicit yes for that amount, THEN re-call with dryRun:false to actually spend."New value: +"DEFAULTS TO TRUE. While true this returns only a cost quote ({ estimatedCredits, balance, spendCapDaily, spentLast24h, capRemaining }) and executes nothing. Show the user estimatedCredits, then ask a normal confirmation question. Prefer the client's native question UI with Approve / Decline / Discuss choices when available; otherwise accept any unambiguous conversational approval. Never require a fixed phrase or ask the user to type a magic word. Only after approval, re-call with dryRun:false to actually spend."
  2. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint:false, idempotentHint:false, destructiveHint:false), the description adds critical behavioral details: it is PAID but cheap, SYNCHRONOUS with no jobId to poll, stores NOTHING, and defaults to a cost preview. These are not present in annotations and significantly help the agent understand side effects, cost, and execution model.

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 dense but every sentence adds value: cost/sync, output purpose, storage, and dryRun default are all front-loaded. It is longer than typical but justified by the tool's complexity. No redundant phrases.

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 output shape, cost model, sync behavior, storage, and the dryRun flow. It does not discuss error handling or edge cases, but for a tool with no output schema and given the schema covers parameters, this is adequate. It could mention alternatives to fully round out context, but that's more usage guidance.

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 schema already documents all parameters. The description does not add extra parameter meaning beyond what's in the schema (e.g., it references dryRun but the schema already explains it fully). The baseline of 3 applies since the description does not enhance parameter semantics.

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 the tool 'turns a rough game idea into { aiVision, aiPromptGuidance, aiNegativeGuidance }' — a specific verb, resource, and output. It distinguishes from siblings like create_project and suggest_project_style by explaining its role in maintaining visual consistency, which is a unique purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear context on when to use it (to generate a creative brief that feeds into create_project) and explains the dryRun flow for cost approval. However, it does not explicitly name alternatives or state when NOT to use it, so the differentiation from similar tools like suggest_project_style is left implicit.

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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