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get lsa setup

get_lsa_setup
Read-onlyIdempotent

Inspect Google LSA account selection and sync freshness, with setup steps. Saved configuration never proves a live workflow. Cloud-project production access must be checked in Google Cloud.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered by structured data. The description adds genuinely new behavioral context beyond that: that saved configuration is not proof of a live workflow, and that production access must be verified in Google Cloud rather than in this tool.

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?

Three short sentences with no filler, and the core purpose is front-loaded before the caveats. The wording is abstract in places but nothing is redundant.

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?

An output schema exists so return values need not be explained, and annotations carry the safety profile, but the description still leaves the single required parameter unexplained and gives no context for when this inspection should be run versus related LSA tools.

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 0% and the sole parameter business_id (a UUID) is never mentioned in the description. The description does not compensate for the coverage gap, leaving the meaning and allowed source of that ID undocumented.

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?

The description names a specific verb and resource: inspecting Google LSA account selection and sync freshness. It is distinguishable from siblings like get_lsa_account_report or sync_lsa, though it does not explicitly say how it differs from them.

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?

There is no explicit when-to-use guidance and no named alternative. A sibling like sync_lsa or get_lsa_account_report could plausibly be reached for the same goal, and the description offers no routing logic to disambiguate.

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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