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Apogee: Bulk Ad Launcher for Meta, TikTok & Snapchat

List Meta pixels

list_pixels
Read-onlyIdempotent

The Meta pixels of an ad account, to track a launch. The Meta pixels (datasets) of an ad account: id and name, to pick the tracking of a launch.

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": {
      "ad_account_id": "<ad_account_id>"
    },
    "name": "list_pixels"
  }
}

Input Schema

NameRequiredDescriptionDefault
ad_account_idYesMeta ad account id (act_…), from list_ad_accounts

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so safety is covered. The description adds that the returned fields are id and name, which is genuinely useful given there is no output schema, but it says nothing about pagination, result limits, or what an empty list means.

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?

Two sentences that say substantially the same thing — the second restates 'Meta pixels of an ad account' and repeats the launch framing. It is short and front-loaded, but the duplication costs it credit for efficiency.

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

Completeness4/5

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

For a single-parameter read tool with rich annotations, the description supplies the resource identity and the returned fields (id and name). Only secondary details such as result volume or ordering are absent, which is minor here.

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?

There is a single parameter with full schema description coverage, including the pattern and a pointer to list_ad_accounts as its source. The description adds no meaning beyond the schema, which is acceptable at 100% coverage but is not value-adding.

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 resource (Meta pixels / datasets of an ad account) and clarifies the pixel-dataset equivalence, so an agent knows what it retrieves. However, it is phrased as a noun clause rather than a verb+resource statement, and it draws no boundary against siblings like list_custom_audiences or list_pages.

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?

'to track a launch' and 'to pick the tracking of a launch' imply the usage context (launch setup needs a pixel id), but no alternative tool is named and no when-not condition is given. The agent must infer that this is the pixel-lookup step in a launch workflow.

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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