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Easyparser — Amazon Product & Seller Data

by com.easyparser
OverviewDiscussionsAdmin

check_credits

Read-only

Check the Easyparser account: current plan, credit balance (used/remaining/limit), credit reset date, per-minute rate limits, and this month's daily usage breakdown by operation. FREE — this calls the Account API and consumes no credits.

Use this before running expensive multi-page or 12-month-history jobs, when the user asks about their quota or plan, or to analyze usage patterns (e.g. 'which operation consumed the most credits this month?'). Requires an API key.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": true,
+  "description": "JSON response from the Easyparser Data Service or Account API. Non-object payloads are wrapped as { result }.",
+  "properties": {},
+  "type": "object"
+}
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: that the call is free, hits the Account API, consumes no credits, and requires an API key. It does not cover rate-limit behavior of the call itself, but the added cost/auth facts are meaningful.

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?

Two sentences, front-loaded with the returned data and then the usage triggers, with the free/no-credit fact highlighted. Every clause adds actionable information and there is no filler.

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?

An output schema exists, so the description need not explain the return structure, and it instead spends its budget on cost, auth, and routing guidance. For a zero-parameter read-only account query this is fully sufficient to invoke 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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. It correctly implies no input is required beyond authentication.

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?

States a specific verb (check) plus the exact resource (Easyparser account) and enumerates what is returned: plan, credit balance, reset date, rate limits, daily usage by operation. No sibling tool covers account/quota data, so it is unambiguously distinguishable from the product/seller/bulk tools.

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?

Gives explicit when-to-use triggers: before expensive multi-page or 12-month-history jobs, when the user asks about quota or plan, and for usage-pattern analysis with a concrete example question. This is a pre-flight/cost-control call and the description makes that role plain.

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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