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zackscriven

ghl-mcp-server-v2

by zackscriven

ghl_ad_fb_reporting_get

Read-onlyIdempotent

Retrieve aggregated Facebook ad reporting metrics for a location, including impressions, clicks, spend, and more, with customizable date range and grouping.

Instructions

Get reporting data Retrieve aggregated Facebook ad reporting metrics for a location Endpoint: GET /ad-publishing/facebook/reporting (Version header: 2021-07-28; source: v3/ad-publishing-v3.json) OAuth scopes: adPublishing.readonly

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesIntegration source type
fieldsYesReporting fields. Pass as comma-separated values on the wire (e.g. ?fields=impressions,clicks).
endDateYesReport end date
groupByYesTime grouping interval
startDateYesReport start date
locationIdYesLocation identifier
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 does not need to repeat these. It adds the endpoint and OAuth scopes, which provide useful context. However, it does not disclose any further behavioral traits such as rate limits, pagination, or data freshness.

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 concise with two main sentences and technical details appended. It is front-loaded with the core purpose. However, the first line is slightly redundant with the second.

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?

The tool has no output schema, so the agent relies on the description for understanding return values. The description does not explain the response format, fields returned, or any aggregation details. Important context like location-specific scope is mentioned but not emphasized.

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?

The input schema has 100% coverage with descriptions and examples for all 6 parameters. The description adds no additional parameter meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool retrieves aggregated Facebook ad reporting metrics for a location. It specifies the verb 'Get' and the resource 'reporting data'. However, it does not differentiate from sibling tools like ghl_ad_fb_campaign_reporting_get, which might be more campaign-specific.

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?

The description provides no guidance on when to use this tool versus alternatives. It lacks explicit context for suitable scenarios or exclusions, leaving the agent without decision-making support.

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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