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meta_ads_pixels_stats

Aggregate pixel event counts over a rolling time window and detect unusual drops in PageView, Purchase, or Lead volume to identify pixel breaks.

Instructions

Returns aggregated pixel-event counts over a rolling time window. Returns an array of {date, event_name, count} rows. Read-only. Use this to spot unusual drops in PageView / Purchase / Lead volume that indicate a pixel break. For per-event metadata (parameter names, sample payloads) use meta_ads_pixels_events instead.

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 query.
periodNoAggregation window. Default last_30d. Longer windows cost more Graph API quota but are necessary to spot slow degradations.
Behavior3/5

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

With no annotations, description declares read-only behavior and rolling time window but lacks mention of Graph API quota impact (only in schema) or other limitations like data latency.

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?

Two sentences, front-loaded with output format, no redundant information. Efficient and clear.

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?

Given no output schema, description explains return format and use case. Missing details about data freshness or sorting, but overall adequate for a stats tool.

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%, so description adds no extra parameter meaning beyond what schema already provides. Baseline 3 applies.

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 the tool returns aggregated pixel-event counts with output structure, and distinguishes from sibling tool meta_ads_pixels_events by specifying what it does not do.

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?

Explicitly states when to use (spot unusual drops indicating pixel break) and when not to use (if per-event metadata needed, use sibling tool).

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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