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meta_ads_split_tests_get

Retrieve full details and results of a completed Meta Ads split test, including per-cell performance, confidence intervals, and the winner cell ID. Use after test end to analyze outcomes.

Instructions

Fetches the full detail record for a single Split Test including per-cell results when the test has concluded. Returns id, name, status, cells (each with name, adsets, metric_value, confidence_interval), winner_cell_id (when determined), confidence_level, start_time, and end_time. Read-only. Call this after a test ends to read the winner; for the raw list use meta_ads_split_tests_list.

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.
study_idYesStudy ID as returned by meta_ads_split_tests_list.
Behavior4/5

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

No annotations provided; description declares read-only nature and lists returned fields. Notes condition 'when the test has concluded', but omits potential errors or auth requirements.

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 that efficiently convey purpose, return fields, and usage guidance. 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?

Description fully covers return fields and when to call, compensating for lack of output schema. Complete for a single-record fetcher.

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 parameters described. Description adds no extra meaning beyond 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?

Clearly states 'Fetches the full detail record for a single Split Test', specifying verb and resource. Distinguishes from sibling 'meta_ads_split_tests_list' by offering an alternative for raw lists.

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 advises to call after test ends to read the winner and directs to 'meta_ads_split_tests_list' for raw list, providing clear when-to-use and when-not-to-use guidance.

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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