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Apogee: Bulk Ad Launcher for Meta, TikTok & Snapchat

Meta audience insights

get_audience_insights
Read-onlyIdempotent

Who Meta ad sets target and how many people they can reach. Get detailed targeting and estimated audience size for ad sets. Use to understand who is being targeted and reach potential.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "adset_ids": "<adset_ids>",
      "ad_account_id": "<ad_account_id>"
    },
    "name": "get_audience_insights"
  }
}

Input Schema

NameRequiredDescriptionDefault
adset_idsYesArray of ad set IDs to analyze
ad_account_idYesMeta ad account id (act_…), from list_ad_accounts

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds only the notion that reach figures are 'estimated', which is mildly useful, but says nothing about latency, per-ad-set cost of the call, or how many ad sets can be batched.

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?

Three short sentences are front-loaded sensibly, but sentence one and sentence three restate the same idea about who is targeted, so one of them is redundant. It is not bloated, just not fully tight.

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

Completeness3/5

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

For a two-parameter read tool with full annotations this is close to sufficient, but with no output schema the description should sketch the shape of the result — targeting spec facets versus a reach range — and it does not. The gap is modest but real.

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?

Schema description coverage is 100%, with both adset_ids and ad_account_id documented in the schema including the act_ format hint. The description adds no further meaning, such as limits on array length or whether all IDs must belong to the same account — baseline 3 applies.

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 names a specific verb (get) and a specific resource (targeting detail plus estimated audience size for ad sets), so an agent knows exactly what comes back. It stops short of distinguishing itself from targeting-related siblings such as list_targeting or search_targeting.

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

Usage Guidelines3/5

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

The phrase 'Use to understand who is being targeted and reach potential' gives an implied use case, but there is no when-not guidance and no named alternative for retrieving targeting definitions versus reach estimates. An agent must infer the boundary with the sibling targeting tools.

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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