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meta_ads_pixels_events

Audit pixel events by retrieving distinct event types with sample payloads. Inspect event names and parameters to build conversion rules and audience definitions.

Instructions

Lists distinct event types the pixel has received recently, with sample payloads. Returns event_name, sample_count, first_seen, last_seen, and a sample_parameters dict per event. Read-only. Use this to audit which standard events (Purchase, Lead, ViewContent, etc.) and custom events are firing, and to inspect parameter names before building conversion rules or audience definitions that reference them. For aggregate volume over time use meta_ads_pixels_stats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
pixel_idYesPixel ID to inspect.
Behavior4/5

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

Without annotations, the description carries full burden. It states the tool is read-only and returns recent data. However, it does not specify details like recency definition, rate limits, or pagination, but for a simple listing tool this is adequate.

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 concise, well-structured, and front-loaded. Every sentence adds value, and there is no redundant information.

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

Completeness5/5

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

Given the tool's simplicity (2 parameters, no output schema), the description adequately covers purpose, usage, return fields, and alternatives. It mentions both standard and custom events, and lacking an output schema, it describes return fields.

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 coverage is 100% with descriptions for both parameters (account_id optional with fallback, pixel_id required). The description does not add additional semantics beyond the schema, so baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states it lists distinct event types with sample payloads, specifies return fields, and distinguishes itself from the sibling tool meta_ads_pixels_stats for aggregate volume. It also explicitly mentions it is read-only.

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

Usage Guidelines5/5

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

The description explicitly tells when to use it: to audit standard and custom events and inspect parameter names before building conversion rules or audiences. It also directs users to the sibling tool meta_ads_pixels_stats for aggregate volume over time, providing an alternative.

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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