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Get account

get_account
Read-only

Reads the user's account and settings: name, email, language, time zone, notification preferences, plan with its limits and usage, upgrade prices, API tokens and connected apps (names and dates only; secrets are not included).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
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 genuinely useful behavioral context beyond that: the exact data surface returned and the explicit security boundary that secrets are excluded ('names and dates only; secrets are not included'). It stops short of noting auth requirements or rate limits.

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?

A single front-loaded sentence that leads with the verb and resource before enumerating fields; the parenthetical about secrets is well placed. The field list is long but each item is a distinct part of the return payload, so it earns its space rather than padding.

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 no output schema, the description carries the burden of explaining return values and does so comprehensively, itemizing every category of data returned and flagging the sensitive-field exclusion. For a zero-parameter read tool this is as complete as it needs to be.

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 tool takes zero parameters, so the baseline is 4. There is no parameter semantics to clarify and the description correctly spends no space on inputs, focusing entirely on the returned data surface.

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 ('Reads') and resource ('the user's account and settings'), then enumerates exactly what falls under that scope (name, email, language, time zone, notifications, plan/limits/usage, prices, tokens, connected apps). This clearly separates it from the write-side sibling update_account without needing to name it.

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?

Usage is implied rather than stated: an agent can infer 'call this when you need account/settings data', but there is no explicit when-to-use trigger, no prerequisites, and no named alternative such as update_account for modifications. Adequate but leaves routing to inference.

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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