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Account, quota and usage

mcpAccount
Idempotent

Your AILANG Parse account: plan, monthly usage and limits, your keys, and whether request history is kept. Actions: "status" (default) → plan, usage this month and remaining allowance "keys" → your keys with per-key usage ("usage" is an alias) "history" → whether request history (parsed output kept for replay) is on for your account "history_on" / "history_off" → change it for the account and all its keys

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNo
apiKeyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / required
      Previous value: -[
      -  "apiKey",
      -  "action"
      -]New value: +[]
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and idempotentHint=true, and the description is consistent with that while adding real context the annotations don't carry: history_on/history_off mutate the account and ALL its keys, not just one. It omits auth requirements, rate limits, and any caution that history toggles are account-wide writes.

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?

Front-loaded with the resource definition, then a clean action-to-behavior mapping with the default called out — efficient and scannable. Minor formatting noise (stray quote/indentation in the action list) keeps it from being flawless.

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 an action-dispatch tool with no output schema and only generic annotations, the description covers the actions and the account-wide mutation scope adequately. The main omissions are the role of apiKey and whether history toggles are reversible, plus expected return shape for each action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for both parameters. It does so well for 'action' (enumerates all legal values and the default) but says nothing about 'apiKey' or whether it is needed, leaving half the parameter surface undocumented.

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?

The description names a specific resource (the AILANG Parse account) and enumerates the concrete things it covers: plan, monthly usage, limits, keys, and request-history settings. An agent can tell this apart from mcpAuth/mcpParse siblings at a glance, since it is unambiguously the account/quota tool.

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?

Each action is listed with its purpose and the default ('status' is marked default), so the agent knows how to select behavior. It stops short of naming when to prefer a sibling tool or when-not to use this one, so it is clear context without explicit routing.

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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