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Trillboards DOOH Advertising

update_media_buy

[AdCP Media Buy] Update an existing media buy (campaign).

Modify budget, targeting, schedule, or status of an existing media buy.

WHEN TO USE:

  • Adjusting campaign budget mid-flight

  • Pausing or resuming a campaign

  • Changing targeting parameters

  • Extending campaign dates

EXAMPLE: update_media_buy({ media_buy_id: "mbuy_abc123", updates: { status: "paused", budget: { daily_usd: 300 } } })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extNo
pausedNo
accountNo
contextNo
updatesNoFields to update
canceledNo
end_timeNo
packagesNo
revisionNo
start_timeNo
media_buy_idYesMedia buy ID to update
new_packagesNo
idempotency_keyNo
invoice_recipientNo
reporting_webhookNo
cancellation_reasonNo
push_notification_configNo

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It conveys that this is a mutation tool and lists use cases, but it does not explain merge semantics, whether updates are partial or full replacements, permission requirements, side effects, reversibility, or what the response contains.

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 with a clear summary, 'WHEN TO USE' bullets, and a concrete example. It is front-loaded, every section earns its place, and the example efficiently demonstrates the expected invocation shape.

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?

This is a complex tool with 17 parameters, nested objects, no annotations, and no output schema. The description covers the core update flow well, but it leaves many parameter mechanisms unexplained (e.g., cancellation, idempotency, package changes, webhooks), making it incomplete for full correct invocation in all scenarios.

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 only 12%, so the description must compensate. It adds useful semantics by mapping to fields like status, budget, targeting, and dates, and the example clarifies the important `updates` object shape. However, many top-level parameters such as packages, paused, canceled, cancellation_reason, idempotency_key, and webhook settings remain unexplained.

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 states a specific verb and resource: "Update an existing media buy," and further specifies the modifiable dimensions: budget, targeting, schedule, or status. This clearly distinguishes it from creation and read tools such as create_media_buy and get_media_buys by emphasizing 'existing' and 'update.'

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 provides concrete scenarios: adjusting budget mid-flight, pausing/resuming, changing targeting, and extending dates. It gives clear context for when the tool is appropriate, though it does not explicitly state when not to use it or name alternative 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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