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Abstract API MCP by usefulapi

List VAT rates

abstractapi_list_vat_rates
Read-onlyIdempotent

The latest VAT rates of one country: the standard rate and each reduced-rate category with its description. VAT Validation API. Abstract answers this endpoint without checking the key and may not count it as a credit; this tool still needs the VAT API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
country_codeYesTwo-letter country code, e.g. DE.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely non-obvious operational context: Abstract may answer this endpoint without validating the key and may not count it as a credit, while the tool still requires the VAT API key. That is exactly the kind of detail annotations cannot express.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose sentence is well front-loaded, but the dangling fragment 'VAT Validation API.' adds no information and reads like boilerplate pasted in. The auth/credit sentence is long and could be tightened, so the description is merely adequate in structure.

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?

There is no output schema, so the description usefully describes what is returned (standard rate + reduced-rate categories with descriptions) and flags the key/credit quirk. Only minor gaps remain, such as coverage of unsupported country codes and error responses.

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?

There is one parameter with 100% schema description coverage, including a format example (DE), so the schema does the heavy lifting and baseline 3 applies. The description adds nothing about country_code semantics (e.g., unsupported countries or error behavior), so no credit above baseline.

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?

States a specific verb (list) and resource (latest VAT rates of one country) and even previews the payload: standard rate plus each reduced-rate category with its description. It does not, however, differentiate itself from close siblings like abstractapi_validate_vat or abstractapi_calculate_vat, so an agent must infer the split itself.

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

Usage Guidelines3/5

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

Usage is implied by the wording (use when you need the current rate table for a country), but there is no explicit when-to-use versus when-not-to-use guidance and no callout to sibling tools. The key/credit note is a prerequisite, not selection guidance.

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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