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All pacing & efficiency targets

target_pacing_all
Read-only

Get all pacing and efficiency targets (pacers) across periods as JSONL. Not just budget: covers pacing targets (Cost, Clicks, Conversions, Conversion Value; Type = Pacing) and efficiency targets (CPC, ROAS, CPA, ACOS; Type = Efficiency). Limited to the last 365 days: periods ending within the last year, plus current and future-scheduled ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountIdsNoOptional TrueClicks account ids to limit the result to (the numeric Id field from the account listing). Omit to return all accounts.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / accountIds / description
      Previous value: -"Optional account IDs to limit the result to. Omit to return all accounts."New value: +"Optional TrueClicks account ids to limit the result to (the numeric Id field from the account listing). Omit to return all accounts."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate read-only and non-destructive behavior, and the description reinforces this by describing a listing/retrieval operation returning JSONL. It also clarifies date-scope behavior, which adds transparency beyond the annotations.

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 compact and well-structured, front-loading the core purpose and then clarifying scope and limitations. No redundant or filler content.

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?

Sufficiently complete for a read-only listing tool: it explains output format, coverage, and date restriction. It does not describe a return schema, but none is provided, and the operation is simple enough that this is not a critical gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter accountIds is fully described in the schema including default and omission behavior. The description reinforces that omitting returns all accounts, adding practical meaning beyond the schema text.

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 it gets all pacing and efficiency targets as JSONL, explicitly covering Pacing and Efficiency types. It distinguishes itself from the sibling target_pacing tool by saying 'all' and by describing scope across periods and the 365-day limit.

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

Usage Guidelines4/5

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

Provides useful usage context: not just budget, includes pacing and efficiency targets, limited to last 365 days plus current/future. It implies this is the broader list compared to target_pacing, though it does not explicitly name the sibling alternative or when to choose one over the other.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but the audit and report tools (e.g., audit_rule_output_table vs audit_rule_output_table_historical vs audit_rule_result vs audit_rule_result_campaign) are closely related and rely on detailed descriptions to differentiate.

Naming Consistency4/5

Naming is generally consistent with snake_case and domain-prefixed groups (google_ads_*, ms_ads_*, perfmon_*), though a few tools are bare nouns (account, task, user) rather than verb-led, which slightly deviates from the dominant pattern.

Tool Count4/5

23 tools is on the higher end but justified for a platform covering multiple ad platforms, audit reports, alerts, and user management; it remains navigable with clear groupings.

Completeness4/5

The tool set comprehensively covers account enumeration, audit results, report execution for major ad platforms, perfmon alerts, pacing targets, tasks, and users. Minor gaps exist (e.g., no create/update/modify operations), but the core analytics and monitoring surface is well covered.

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