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get advertiser

get_advertiser
Read-onlyIdempotent

get advertiser. 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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seatIdNo
taskIdNo
assetIdNo
flightIdNo
seatNameNo
accountIdNo
previewIdNo
campaignIdNo
creativeIdNo
templateIdNo
advertiserIdYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
errorNo
statusYes
assistantSummaryYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description's addition of 'Execution: synchronous' and 'Task support: forbidden' provides some extra behavioral context not in the structured annotations. However, the description focuses more on how to present results than on operational behavior like error handling or auth requirements.

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

Conciseness2/5

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

The description is five sentences, but most are dedicated to output formatting and behavioral rules (e.g., 'Never display raw JSON,' 'Prefer concise, human language') that belong in a system prompt rather than a tool description. The first sentence is a tautology, and the structure buries any useful operational detail under generic agent instructions.

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 the tool has 11 parameters and no parameter descriptions, the description fails to explain what an 'advertiser' is or how the various IDs (seatId, flightId, campaignId, etc.) relate. The output schema exists, which covers return shape, but the description's vague 'internal application state' does not compensate for the lack of parameter semantics or usage context.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain any of the 11 parameters. It never mentions advertiserId, seatId, or other fields, leaving the agent to guess that advertiserId is the primary identifier. The description adds no semantic value for choosing or filling parameters.

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

Purpose2/5

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

The description opens with 'get advertiser,' which is essentially the tool's name and title, providing no elaboration on what exactly is retrieved or returned. It does not distinguish this tool from siblings like get_campaign or get_asset, and the rest of the text is about response presentation, not purpose.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives like list_advertisers or update_advertiser. The instruction 'Use assistantSummary first' refers to response composition, not tool selection, and the 'suggest the next best LeanrIQ action' is generic advice that doesn't clarify the tool's intended use case.

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

C2.6/5.0
Disambiguation2/5

The tool set is dominated by deprecated aliases (leanriq_build_ad, leanriq_create_brief, etc.) that duplicate canonical tools exactly, and multiple high-level builders (build_ad, build_campaign_creative_set, leanriq_campaign_builder, launch_creative_campaign) overlap in purpose. An agent would struggle to pick the intended tool without inspecting full descriptions.

Naming Consistency2/5

Canonical tools follow a sensible verb_noun pattern (create_campaign, get_creative, list_flights), but the large number of 'leanriq_' prefixed aliases and special names like leanriq_campaign_builder create a mixed, inconsistent surface. The presence of both build_ad and leanriq_build_ad, or get_current_seat and leanriq_current_seat, breaks any predictable convention.

Tool Count1/5

87 tools is an extreme number for any MCP server, even a broad ad-platform API. The sheer volume, including many duplicate aliases, far exceeds a well-scoped set and will overwhelm agents with unnecessary choices.

Completeness4/5

The core lifecycle is well covered: CRUD for advertisers, campaigns, flights, creatives, versions, assets, plus trafficking, QA, preview, and publishing. Minor gaps exist, such as the missing canonical create_creative_strategy (only a deprecated alias references it) and no direct update_creative, but the domain is functionally complete.

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