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Trillboards DOOH Advertising

get_adcp_capabilities

[AdCP] Get the seller agent's AdCP capabilities and supported protocols.

Returns the full capability declaration for this AdCP DOOH seller agent. This tool does NOT require authentication.

WHEN TO USE:

  • Discovering what protocols the seller agent supports (Signals, Media Buy)

  • Understanding available audience signals and data methodology

  • Getting MCP endpoint and discovery URLs

RETURNS:

  • supported_protocols: ['signals', 'media_buy']

  • inventory: DOOH format details, network size

  • audience_data: signal list, methodology, refresh rate

  • pricing: model, currency, floor CPM

  • discovery: well_known_url, mcp_endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden. It explicitly states 'This tool does NOT require authentication' and outlines the return structure. It does not mention caching, volatility, or error behavior, but for a read-only capability declaration this is reasonably transparent and not misleading.

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 well-structured with separate WHEN TO USE and RETURNS sections, making it easy to scan. It is not overly long, though the opening sentence and the following 'Returns the full capability declaration' line are slightly redundant.

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

Completeness5/5

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

For a zero-parameter tool with no output schema, the description fully covers what an agent needs: when to use it, authentication status, and a detailed breakdown of the returned capability fields. Nothing essential is missing for correct invocation.

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

Parameters4/5

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

The input schema has zero parameters and 100% schema coverage, so there are no parameters to document. The baseline for a zero-parameter tool is 4, and the description appropriately signals that no inputs or authentication are required.

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?

Clearly specifies the tool retrieves the seller agent's AdCP capabilities and supported protocols, and goes on to enumerate the major return categories (protocols, inventory, audience_data, pricing, discovery). This distinguishes it from sibling tools like get_partner_info, discover_inventory, or describe_endpoint, so an agent can select it without ambiguity.

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?

Provides an explicit 'WHEN TO USE' section listing three concrete use cases: discovering supported protocols, understanding audience signals, and getting MCP endpoint/discovery URLs. It lacks explicit when-not-to-use guidance or named alternatives, so it does not fully reach the top score.

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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