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Logimu

account

Read-onlyIdempotent

ACCOUNT: the calling key's balance, plan, 30-day usage by endpoint and its product-tracking allowance (snapshots a day: total, used, remaining) - the same as REST GET /v1/account. USE WHEN the user asks how many credits are left, what a job will leave, what the key has been used for, or how much tracking room there is. COST free, never billed. API key required (keyed lanes); without one, nothing to report.

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?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, lowering the bar. The description adds genuinely useful non-annotation context: cost is free/never billed, it requires an API key, and without a key 'nothing to report.' It does mention the data is a daily snapshot, which is helpful, but doesn't clarify freshness/timing or the response 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?

Three dense sentences, front-loaded with the resource and scoping, then usage triggers, then cost/auth constraints. Every sentence earns its place, though the parenthetical 'snapshots a day: total, used, remaining' is slightly cramped.

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-param read-only tool with full annotation coverage, the description covers purpose, triggers, cost, and auth requirement. No output schema exists, so it could say more about return shape, but the enumeration of plan/usage/tracking fields largely compensates.

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?

Zero parameters, so the baseline is 4. Description adds accurate framing that the tool acts on the calling key rather than a passed identifier, which is the key semantic point for a parameterless tool.

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?

Names a specific resource (the calling key's balance, plan, usage, and tracking allowance) and enumerates exactly what data it exposes, ending with an equivalence to REST GET /v1/account. This clearly distinguishes it from siblings like track_product or list_tracked, which are write/list operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The USE WHEN clause gives four explicit trigger conditions (credits left, job cost projection, usage history, tracking room), and COST free plus API key required establishes constraints. No alternative tool is named, but none of the siblings clearly overlaps this read-only account resource.

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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