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estapel-ai

mcp-facebook-ads

by estapel-ai

estimate_audience_size

Estimate the reach of a Facebook ads targeting specification to plan campaigns and refine audiences before launch.

Instructions

Estimate audience size for targeting specification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optimize_forNoIMPRESSIONS
ad_account_idNo
targeting_specYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
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. It does not disclose whether the operation is read-only, requires authentication, has rate limits, or has any side effects. Only the core estimation purpose is conveyed.

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 a single, front-loaded sentence with no unnecessary words. It is appropriately sized for its scope and immediately communicates the primary purpose.

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 three parameters with 0% schema descriptions, a nested targeting_spec object, and no annotations, the description is too sparse. While an output schema exists (reducing the need to explain return values), the lack of parameter and behavioral context leaves agents under-equipped to invoke the tool correctly.

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%, so the description must compensate. It mentions only 'targeting specification' and does not explain the meaning or expected format of optimize_for or ad_account_id, leaving most parameter semantics undocumented.

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 states a specific verb ('Estimate') and resource ('audience size') tied to a targeting specification. It is clear what the tool does, but it does not differentiate the tool from siblings such as search_demographics or search_interests.

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 gives no explicit guidance on when to use this tool versus alternatives, nor does it state prerequisites or exclusions. The only implied context is that a targeting specification is needed.

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