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Get account info

get_account_info
Read-only

Returns the authenticated user, the connected Google accounts (email + scopes), and the subscription status. Useful as a first call to confirm the MCP server is wired up correctly and the user has the data sources you expect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
userNo
accessNo
apiKeyNo
subscriptionNo
googleAccountsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds useful context beyond that by disclosing the payload contents (email, scopes, subscription) and the intended diagnostic role, though it says nothing about auth requirements or behavior when accounts are missing.

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?

Two sentences, both earning their place: the first enumerates the return payload, the second routes the agent to the right moment to call it. Front-loaded with the substantive content and free of filler.

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

Completeness5/5

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

With an output schema present, the description is not obliged to detail return structure, yet it still summarizes the payload and gives the agent a clear reason to invoke the tool. For a zero-parameter read operation this is complete.

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?

Zero parameters, so per the rubric the baseline is 4. There is no parameter surface for the description to illuminate, and it does not need to compensate for any schema gaps.

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?

States a specific verb (returns) and enumerates the exact resource set: authenticated user, connected Google accounts with email + scopes, and subscription status. No sibling tool surfaces account/auth state, so it is unmistakably distinct from the list_* and get_* analytics tools around it.

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?

Explicitly frames the use case as a diagnostic first call to verify the server is wired up and expected data sources are present. It does not need to name alternatives, since nothing else in the sibling set returns account context, but it stops short of stating any exclusions or failure conditions.

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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