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List Studio creatives. Prefer campaignId for deterministic campaign inventory reads. If only campaignName is available, pair it with advertiserId or advertiserName so LeanrIQ can resolve the campaign once, follow pagination centrally, and return the full campaign creative set without local guesswork.

list_creatives
Read-onlyIdempotent

List Studio creatives. Prefer campaignId for deterministic campaign inventory reads. If only campaignName is available, pair it with advertiserId or advertiserName so LeanrIQ can resolve the campaign once, follow pagination centrally, and return the full campaign creative set without local guesswork.. Classification: read-only. Execution: synchronous. Task support: forbidden. 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. This tool is the authoritative saved Studio creative inventory for the requested scope. With an exact campaignId, call list_creatives directly as the first and only inventory read. The MCP response returns a compact inventory containing creative names, IDs, sizes and statuses; use get_creative only when full creative internals are needed. Non-empty rows prove saved creatives exist regardless of campaign build or activation workflow state; a completed empty result is authoritative. Do not call get_campaign first to decide whether creatives exist.

Input Schema

NameRequiredDescriptionDefault
limitNo
cursorNo
seatIdNo
statusNo
seatNameNo
accountIdNo
campaignIdNo
creativeIdNo
advertiserIdNo
campaignNameNo
sourceLocaleNo
targetMarketNo
contentLocaleNo
marketContextNo
targetMarketsNo
advertiserNameNo
contentLocalesNo
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

A4.4/5.0
Behavior5/5

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

Annotations already cover read-only/idempotent/non-destructive, and the description still adds real context: synchronous execution, task support forbidden, pagination handled centrally, the compact shape of the return (names, IDs, sizes, statuses), and the authoritative empty-result semantics ('a completed empty result is authoritative'). These are behaviors an agent cannot infer from the annotations.

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 sentence is front-loaded and useful, but the title text is duplicated verbatim in the description (including a doubled period after 'guesswork..'), and the response-formatting boilerplate ('Never display raw JSON...') adds length. The guidance earns its place, but the repetition and bloat are real.

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 read-only list tool with an output schema and full annotation coverage, the description covers purpose, routing, alternatives, and result semantics well. The remaining gap is the 23-parameter surface at 0% schema coverage, which the description only partially addresses.

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 coverage is 0% across 23 parameters, so the description must carry the load. It meaningfully explains the routing parameters (campaignId vs campaignName + advertiserId/advertiserName), but limit, cursor, seatId, status, accountId, creativeId, locales, and marketContext remain undocumented in both schema and description. Partial compensation, not full.

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?

States a specific verb+resource ('List Studio creatives') and explicitly positions it against siblings: it is 'the authoritative saved Studio creative inventory,' get_creative is only for 'full creative internals,' and get_campaign should not gate it. An agent can distinguish it from list_creative_versions, get_creative, and build_campaign_creative_set without opening a schema.

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?

Gives explicit routing rules: prefer campaignId, and if only campaignName is available pair it with advertiserId/advertiserName. It also states when-not ('Do not call get_campaign first to decide whether creatives exist') and the exact alternative for deeper data ('use get_creative only when full creative internals are needed').

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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