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Trillboards DOOH Advertising

sync_creatives

[AdCP Media Buy] Validate and sync creative assets for a media buy.

Validates creative assets (resolution, duration, format) against screen specifications. Returns compatibility status for each screen in the campaign.

WHEN TO USE:

  • Submitting creative assets before campaign launch

  • Checking if a creative meets screen requirements

  • Validating VAST tags

EXAMPLE: sync_creatives({ media_buy_id: "mbuy_abc123", creatives: [{ url: "https://cdn.example.com/ad.mp4", type: "video", width: 1920, height: 1080, duration_seconds: 15, file_size_mb: 12 }] })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extNo
accountNo
contextNo
dry_runNo
creativesYesCreative assets to validate
assignmentsNo
creative_idsNo
media_buy_idNoMedia buy ID
delete_missingNo
idempotency_keyNo
validation_modeNo
push_notification_configNo

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It explains validation and the returned compatibility status, but the 'sync' side effect is left ambiguous — notably, the schema contains delete_missing and dry_run, yet the description does not disclose whether this tool mutates state or what destructive behaviors may occur.

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 well-structured and front-loaded: a one-line summary, a two-sentence functional explanation, a concise WHEN TO USE list, and a concrete example. Every section earns its place without padding.

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

Completeness2/5

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

Given 12 parameters, nested objects, no output schema, and no annotations, this description is not complete enough for reliable invocation beyond the simple example. It omits the purpose and behavior of many optional parameters and does not describe the return format beyond a high-level 'compatibility status' statement.

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 only 17%, and most parameters (assignments, creative_ids, delete_missing, dry_run, validation_mode, idempotency_key, etc.) are not explained in the description. The example adds useful meaning for media_buy_id and the creatives array, but it does not compensate for the large number of undocumented parameters.

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: 'Validate and sync creative assets for a media buy.' It also clarifies scope by listing validation dimensions (resolution, duration, format) and the returned compatibility status, which distinguishes it clearly from read-only sibling tools like list_creatives or get_media_buys.

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?

The 'WHEN TO USE' section explicitly names three concrete scenarios: submitting creatives before launch, checking screen requirements, and validating VAST tags. It provides clear usage context, though it does not mention when not to use the tool or name alternative sibling tools.

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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TDQS

B3.3/5.0
Disambiguation2/5

There are exact duplicates (get_task_status/tasks_get, list_tasks/tasks_list) and several overlapping analytics, attribution, and semantic search clusters (get_attention_metrics vs get_creative_attention vs get_social_attention; find_similar_moments vs semantic_search_observations; get_campaign_attribution vs get_multi_touch_attribution vs get_roas). Detailed descriptions help, but with 83 tools an agent will frequently struggle to pick the right one.

Naming Consistency3/5

Most tools follow a snake_case verb_noun pattern (list_devices, create_campaign, delete_webhook), but there are notable inconsistencies: list_* and get_* are used interchangeably for list operations, attention tools mix conventions (get_attention_metrics vs get_creative_attention vs get_social_attention), and the legacy tasks_get/tasks_list names break the established get_task_status/list_tasks pattern.

Tool Count1/5

83 tools is an extreme count for a single MCP server, spanning device management, sensing, campaigns, media buys, attribution, webhooks, billing, API discovery, and AdCP protocol concerns. This is a broad API surface dump rather than a focused tool set, and it would be far better split into several coherent servers.

Completeness2/5

Despite the enormous surface, core campaign lifecycle is incomplete: create_campaign explicitly tells the agent to use update_campaign to activate a campaign, but no update_campaign tool exists, and there are no list/delete campaign tools. Significant capabilities exist for analytics, attribution, and webhooks, but the primary advertising workflow has a dead end.

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