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Leeway Financial Data

general_account

general_account
Read-only

Limits for this API token. view=credits is the AI wallet (included, purchased, total, autoRecharge) and does not use a daily request unit. view=requests_left is how many request units remain today. Read credits after HTTP 402.

Input Schema

NameRequiredDescriptionDefault
viewYescredits is the AI wallet. requests_left is the daily request budget.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only and non-open-world, and the description adds real context beyond them: the credits view has no daily request-unit cost, what the wallet contains (included, purchased, total, autoRecharge), and the error path (402) that should prompt a read. It does not describe rate limits or failure modes for requests_left, keeping it below a 5.

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?

Three tight sentences, front-loaded with the scope, then the two views, then the operational hint. Every sentence carries information and nothing is repeated from the schema verbatim.

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 single-enum-parameter, read-only tool with no output schema, the description covers purpose, view semantics, and the practical 402 trigger. What remains uncovered (exact return shape, reset timing for the daily budget) is minor.

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?

Schema coverage is 100% and the enum values are documented there, so the baseline is 3; the description nonetheless adds meaning by clarifying that credits does not consume request units and by breaking out the wallet sub-fields, which the schema does not mention.

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 concretely states the resource ('limits for this API token') and enumerates the two views, so an agent can distinguish it from the market-data siblings. It is not a clean verb+resource phrasing and the name 'general_account' is opaque, but the first sentence is specific enough.

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?

It gives a clear trigger for one view ('Read credits after HTTP 402') and explains that requests_left tracks the daily request budget, which implies checking it before spending units. It stops short of explicitly saying when to prefer requests_left or what the views do not cover.

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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