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Get Account List Performance

account_list_performance
Read-only

Account list information with engagement metrics and statistics.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number for pagination (0-based). Example: page=0 for the first page.
sizeNoResults per page from 1 to 100; default 25. Use successive zero-based page values and response pagination metadata for more results.
sortNoSorting criteria. Examples: 'triggeredAmount,desc', 'engagedAccounts,desc', 'influencedAmount,desc'. Format: field,direction where direction is 'asc' or 'desc'.
endDateNoEnd date in ISO 8601 format (YYYY-MM-DDTHH:mm:ss.sssZ). Example: 2025-01-31T23:59:59.999Z. Optional for custom date ranges.
channelsNoComma-separated channel names (e.g., 'LINKEDIN,FACEBOOK,INSTAGRAM,GOOGLE_ADS'). Leave empty for all channels.
startDateNoStart date in ISO 8601 format (YYYY-MM-DDTHH:mm:ss.sssZ). Example: 2025-01-01T00:00:00.000Z. Optional for custom date ranges.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / size / description
      Previous value: -"Number of results per page. Default: 25; raise it (up to 10000) to pull every account list in one call."New value: +"Results per page from 1 to 100; default 25. Use successive zero-based page values and response pagination metadata for more results."
    • changedInput schema / properties / size / maximum
      Previous value: -10000New value: +100
  2. First observed

TDQS

C2.1/5.0
Behavior2/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that: it doesn't say whether results are paginated (they are, per schema), whether there is a default date window, whether an empty date range returns all-time data, or what the metrics represent.

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?

It is a single short, front-loaded sentence with no filler, which is structurally fine. However, the brevity comes at the cost of content — the one sentence conveys almost nothing actionable, so it is under-specified rather than efficiently concise.

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

Completeness2/5

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

With six optional parameters, no output schema, and no annotation detail beyond read-only, the description should explain the returned metrics and default time window. It does neither, leaving the agent to infer behavior entirely from the schema.

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%, and the parameter docs are genuinely good (pagination examples, ISO 8601 format, sort field syntax, channel list format). The description contributes no additional parameter meaning, so the baseline 3 applies.

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

Purpose2/5

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

The description reads as a restatement of the title: 'Account list information with engagement metrics and statistics' names a resource but no verb/action and no scope. It also fails to distinguish this tool from near-siblings like get_abm_account_lists, account_level_stats, or account_funnel_reports, so an agent cannot tell which one returns what.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, when not to, or which alternative to prefer. With several account- and performance-oriented siblings in the list, the absence of any routing signal is a real selection hazard.

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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