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Get account

get_account
Read-only

The person's email, timezone, subscription status and billing state, this month's entry usage against the fair-use limit, and how many personal tokens exist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
usageYes
billingYes
timezoneYes
personalTokensYes
subscriptionStatusYes

Schema Changelog

Changes observed during successful MCP inspections.

  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, non-destructive, and closed-world, covering the safety profile. The description's contribution beyond that is the scope of sensitive data exposed (billing state, fair-use usage, token count), but it says nothing about auth requirements, rate limits, or freshness of the data, and an output schema already documents the return shape.

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 tight sentence with no filler and the most salient fields front-loaded. It reads as an unpunctuated fragment rather than a proper sentence, which slightly weakens the structure but wastes no words.

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?

For a zero-parameter read tool with an output schema and full annotation coverage, nothing essential is missing; the description need not restate return values. It could be firmer about whose account is returned, since 'the person's' leaves the subject implicit.

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. The description correctly implies an implicit subject ('the person's') and adds nothing that could conflict with the empty schema.

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 enumerates the specific data the tool surfaces (email, timezone, subscription/billing state, fair-use usage, token count), which makes the resource unambiguous against siblings like get_capabilities or list_dashboards. However, it is a noun-phrase field dump with no verb, so it never explicitly says 'retrieves the current user's account' nor distinguishes itself from update_account.

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 when-to-use guidance, no prerequisites, and no mention of alternatives such as update_account or get_capabilities. The agent must infer the calling context purely from the enumerated content.

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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