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Deliberately promote one approved LeanrIQ creative workspace into Studio. The workspace and selected territory are retained, and a repeated promotion returns the recorded result rather than duplicating Studio production records.

promote_creative_workspace
Idempotent

Deliberately promote one approved LeanrIQ creative workspace into Studio. The workspace and selected territory are retained, and a repeated promotion returns the recorded result rather than duplicating Studio production records.. Classification: writes to Studio, creates billable AI usage. Execution: durable. Task support: optional. Mutation modes: validate_only, preview_only, execute. Partial failure policy: completed_items_not_rolled_back. The returned JSON is internal application state for LeanrIQ and ChatGPT orchestration. Use assistantSummary first when responding to the user. Never display raw JSON, data, or meta unless the user explicitly asks for raw JSON. Mention IDs only when useful for follow-up or debugging. Prefer concise, human language, highlight the most useful insight, and suggest the next best LeanrIQ action. If idempotencyKey is omitted on a mutation, the MCP layer derives a deterministic retry key from the tool and business arguments so an accidental identical replay cannot create duplicate work. For a mutation when more than one seat is authorised, seatId or seatName must be supplied on that exact tool call; a remembered or previously selected seat is not sufficient for a write.

Input Schema

NameRequiredDescriptionDefault
seatIdNo
seatNameNo
accountIdNo
approvalIdNo
campaignIdNo
workspaceIdYes
advertiserIdNo
campaignNameNo
sourceLocaleNo
targetMarketNo
contentLocaleNo
marketContextNo
targetMarketsNo
contentLocalesNo
idempotencyKeyNo
defaultContentLocaleNo
marketLanguageProfileNo
resolvedContentLocaleNo
languageVariantGroupIdNo
requestedOutputLocalesNo
supportedContentLocalesNo

Output Schema

NameRequiredDescriptionDefault
dataYes
metaYes
errorNo
statusYes
assistantSummaryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed12 schema fields changed
    • addedInput schema / properties / contentLocale
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / contentLocales
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "maxItems": 20,
      +  "type": "array"
      +}
    • addedInput schema / properties / defaultContentLocale
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / languageVariantGroupId
      Added value: +{
      +  "maxLength": 160,
      +  "minLength": 1,
      +  "type": "string"
      +}
    • addedInput schema / properties / marketContext
      Added value: +{
      +  "properties": {
      +    "currency": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "targetMarket": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "targetMarkets": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "timeZone": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    }
      +  },
      +  "type": "object"
      +}
    • addedInput schema / properties / marketLanguageProfile
      Added value: +{
      +  "additionalProperties": {},
      +  "propertyNames": {
      +    "type": "string"
      +  },
      +  "type": "object"
      +}
    • addedInput schema / properties / requestedOutputLocales
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "maxItems": 20,
      +  "type": "array"
      +}
    • addedInput schema / properties / resolvedContentLocale
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / sourceLocale
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / supportedContentLocales
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "maxItems": 20,
      +  "type": "array"
      +}
    • addedInput schema / properties / targetMarket
      Added value: +{
      +  "maxLength": 160,
      +  "minLength": 1,
      +  "type": "string"
      +}
    • addedInput schema / properties / targetMarkets
      Added value: +{
      +  "items": {
      +    "maxLength": 160,
      +    "minLength": 1,
      +    "type": "string"
      +  },
      +  "maxItems": 50,
      +  "type": "array"
      +}
  2. First observed

TDQS

A3.5/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: creates billable AI usage, durable execution, three mutation modes (validate_only, preview_only, execute), a partial-failure policy of completed_items_not_rolled_back, deterministic idempotency-key derivation, and the requirement that seatId/seatName be supplied on the exact write call. This is exactly the behavioral disclosure a write tool needs.

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

Conciseness3/5

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

The purpose statement is front-loaded, but the body carries generic orchestration boilerplate ('Never display raw JSON', 'Prefer concise human language', 'suggest the next best LeanrIQ action') that is not specific to this tool and inflates length. Minor blemish: a doubled period after 'production records..'.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be explained, and the mutation/idempotency/seat semantics are well covered. The gap is parameter context: with 21 params at 0% description coverage, the agent lacks meaning for fields like campaignId, advertiserId, targetMarket, and the locale arrays, which is a real completeness shortfall for a promotion write.

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

Parameters2/5

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

Schema description coverage is 0% across 21 parameters. The description adds meaning for only three (idempotencyKey derivation, seatId/seatName requirement), leaving most business parameters (campaignId, advertiserId, targetMarket, locale variants, approvalId, etc.) undocumented in both schema and text. It does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (promote) and resource (one approved LeanrIQ creative workspace) with a named destination (Studio), and adds the retention/idempotency behavior. It does not name or contrast a sibling such as launch_creative_campaign, so the agent must infer the boundary, but the core action is unambiguous.

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

Usage Guidelines3/5

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

'Deliberately promote one approved...' and 'one approved' imply the precondition (an already-approved workspace), giving implied usage. However, no explicit when-to-use vs when-not and no alternative sibling is named for promoting/launching, so guidance is only inferred.

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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