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estapel-ai

mcp-facebook-ads

by estapel-ai

get_account_insights

Retrieve summary performance metrics for a Facebook ad account over a specified date range. Use the account ID and date preset to analyze campaign results.

Instructions

Get account summary insights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_presetNolast_30d
ad_account_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
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 and it discloses almost nothing. "Get" implies a read, but there is no mention of permissions, rate limits, scope defaults, or what happens when ad_account_id is omitted.

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

Conciseness3/5

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

One short sentence with no padding, and the core purpose is front-loaded. However it is under-specified rather than concise: the brevity comes from omitting necessary information rather than from efficiency.

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?

An output schema exists so return values need not be described, but with zero annotations and zero parameter descriptions the definition leaves the agent without enough to call the tool confidently. The absence of any sibling differentiation is a real gap given the crowded insights/analysis namespace.

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 0% for two parameters (date_preset, ad_account_id) and the description adds no meaning for either. It never explains the default last_30d window or what a null ad_account_id resolves to, so the agent must guess.

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

Purpose3/5

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

"Get account summary insights" gives a verb and a resource, but "insights" is vague and the description does nothing to distinguish it from siblings like get_insights, get_account_info, analyze_campaign, or compare_performance. An agent cannot tell from the text alone which of these to pick.

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 when-to-use guidance, no prerequisites, and no mention of alternatives among the many insight/analysis-shaped siblings. The only hint is the word "account", which is weak routing at best.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.