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platformtaxhub-hash

platformtaxhub-mcp

List platforms supported by the take-home pay calculator

list_take_home_platforms

Returns each platform's ID, display name, category, and fee structure supported by the take-home pay calculator for income comparisons.

Instructions

Returns every platform id, display name, category, and fee structure supported by take_home_pay_calculator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

A3.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It only describes the output contents, not whether the call is read-only, requires authentication, paginates, or orders results. The verb 'Returns' weakly implies no side effects but is not explicit.

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?

A single, tightly worded sentence that front-loads the action and output fields. Every word earns its place with no redundancy or filler.

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 parameterless list tool, the description adequately covers what data is returned and the source calculator. It does not mention ordering or whether the list is exhaustive across regions, but these are minor gaps for a simple listing operation with no output schema.

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 input schema has zero parameters, so no parameter semantics are needed. The description adds nothing about parameters, but the baseline of 4 applies because there is nothing to explain.

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 states a specific verb ('Returns'), the exact resource ('every platform id, display name, category, and fee structure'), and scopes it to take_home_pay_calculator. This clearly distinguishes it from sibling tools like list_payout_platforms by tying it to the take-home calculator context.

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: an agent would use this when it needs the list of platforms supported by take_home_pay_calculator. However, it does not explicitly contrast this with alternatives such as list_payout_platforms or provide when/when-not conditions, leaving some inference required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.