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Zyla API Hub

account_status

Check the current user's account status, billing, and usage. Returns plan info, API call count, the amount consumed this billing cycle in USD (amount_consumed_this_cycle_usd), the billing mode in effect (billing_mode), whether a credit card is on file, and any failed/pending payments. Use this to diagnose why API calls are blocked (missing card or failed payment). Requires the user's API key in the Authorization header.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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?

With no annotations, the description carries the full burden. It makes clear this is a read-only check ('Check', 'Returns'), lists the returned data, and discloses the authentication requirement (API key in Authorization header). No side effects are implied beyond reading status.

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?

Every sentence adds necessary detail: what it does, what it returns, when to use it, and what auth is required. It is detailed without being verbose and front-loads the core purpose.

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?

For a zero-parameter tool with no output schema, the description fully covers behavior, return fields, diagnostic purpose, and authentication. Nothing critical is missing for an agent to select and invoke it correctly.

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 has zero parameters, so there is no parameter vocabulary to explain. The baseline of 4 applies because no parameter documentation is needed.

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?

Description states a specific verb ('Check') and resource ('current user's account status, billing, and usage') and enumerates exact returned fields. It is clearly distinct from sibling tools like call_api or get_payment_url.

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 says to use it to diagnose why API calls are blocked due to missing card or failed payment. It does not name alternatives or exclusions, but the use case is specific and actionable.

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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