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PPC: Account summary

ppc_account_summary
Read-only

Get account-level aggregate metrics for a date range: total spend, sales, ACoS, ROAS, clicks, impressions, purchases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNo
profile_idNoWhich advertising profile (see account_profiles). Optional when the token has exactly one.
start_dateNo
period_daysNo

Schema Changelog

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

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered at a low bar. The description adds the metric list and account-level scope but discloses no further behavioral traits such as how aggregates are computed, profile-selection behavior with multiple tokens, or handling of date ranges with no data.

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?

A single 17-word sentence with the verb and scope front-loaded ahead of the metric enumeration. Every word carries information; there is no filler or repetition of the title.

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

Completeness3/5

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

The metric enumeration partially substitutes for a missing output schema, and annotations cover safety. However, with 0 required parameters and three undocumented date/profile parameters, the description leaves ambiguity about the minimum viable call (are start/end dates required? what does period_days do?) that an agent must resolve elsewhere.

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

Parameters2/5

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

Schema description coverage is only 25% — only profile_id is documented in the schema, and its description already covers its semantics. The description's 'for a date range' loosely maps to start_date/end_date/period_days but does not explain their formats or relationship (e.g., whether period_days substitutes for start/end dates), so it fails to compensate for the three undocumented parameters.

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 opens with a specific verb ('Get') and resource ('account-level aggregate metrics for a date range') and enumerates the exact metrics returned: total spend, sales, ACoS, ROAS, clicks, impressions, purchases. The 'account-level aggregate' qualifier distinguishes it from sibling tools at campaign, ad group, keyword, and daily-trend granularity (ppc_campaigns, ppc_ad_groups, ppc_daily_trend).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives — it never names a sibling or states when NOT to use it. In a sibling set of ~70 PPC tools (ppc_campaign_details, ppc_daily_trend, ppc_period_comparison, ppc_query), an agent gets no routing help beyond the implicit 'account-level' hint.

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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