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get lsa account report

get_lsa_account_report
Read-onlyIdempotent

Read the authorized advertiser's live Google Local Services aggregate account report, including actual spend, currency and charged lead totals. Requires linked manager-account access. Dates are calendar dates inclusive at both ends. Source may lag by 30 minutes. Connected phone calls means duration over 30 seconds; responsiveness is the previous 90 days. This is not signed-case revenue or lead-rating reporting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYes
start_dateYes
business_idYes
connection_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnly/idempotent/non-destructive, and the description adds genuine behavioral context beyond them: a 30-minute source lag, the access prerequisite, and precise definitions for 'connected phone calls' (>30s duration) and 'responsiveness' (previous 90 days). These metric definitions materially affect interpretation of the result.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, followed by access, date semantics, freshness, and metric definitions in a tight sequence. Every sentence carries information, though the density of the metric-definition clause is slightly harder to scan.

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?

An output schema exists, so return values need not be described. For a read-only aggregate report, the description covers purpose, access requirements, date bounds, freshness, and metric definitions adequately; only the identity parameters remain unexplained.

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 0%, so the description carries the burden, and it partially delivers: 'Dates are calendar dates inclusive at both ends' clarifies start_date/end_date semantics. However, business_id and connection_id receive no explanation at all, leaving half the parameters undocumented in both schema and description.

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

Purpose4/5

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

States a specific verb and resource ('Read the authorized advertiser's live Google Local Services aggregate account report') and names what it is not (signed-case revenue or lead-rating reporting), which routes away from rate_lsa_lead. It does not, however, explicitly distinguish itself from the sibling get_lsa_report, leaving some ambiguity between the two report tools.

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

Usage Guidelines3/5

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

Provides a prerequisite ('Requires linked manager-account access') and a negative disambiguation ('not signed-case revenue or lead-rating reporting'), which is useful context. It stops short of stating when to choose this over get_lsa_report or get_lsa_conversations, so selection guidance remains implied rather than explicit.

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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