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Get a platform's rules and fees

get_platform_rules
Read-onlyIdempotent

How a selling or posting platform works for small sellers: fees, house norms, what gets accounts removed, and whether automation or AI help is allowed. Platforms include Etsy, Gumroad, Fiverr, Upwork, YouTube, TikTok, Reddit, X, dev.to, Amazon programmes and more.

Input Schema

NameRequiredDescriptionDefault
platformYesName or id, e.g. 'etsy' or 'upwork'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint false, and destructiveHint false, so the safety profile is fully covered. The description adds the content domain (fees, norms, removal triggers) but no operational context such as data freshness, rate limits, or return format. With annotations doing the heavy lifting, a 3 is appropriate.

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?

The description is two sentences and front-loads the purpose before listing example platforms. It is efficient, though the platform list is somewhat long and could arguably live in the schema; no sentence is wasted.

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 simple lookup tool with one fully documented parameter and rich annotations, the description is complete enough. It explains what information is returned (fees, norms, removal policies, automation rules) and what platforms are supported, compensating for the lack of an 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?

Schema coverage is 100% and the parameter already has examples ('etsy' or 'upwork'), so the baseline is 3. The description expands on valid platform values by listing many supported platforms (Etsy, Gumroad, Fiverr, Upwork, YouTube, TikTok, Reddit, X, dev.to, Amazon programmes), adding useful meaning beyond the schema.

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 names a specific resource (platform rules and fees) and details the exact scope: fees, house norms, account removal triggers, and automation/AI policies. An agent can tell it apart from siblings like check_offer or search_ways without opening the schema.

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 content scope, but there is no explicit when-to-use or when-not-to-use guidance, nor any mention of alternatives. The description does not say when to prefer this tool over siblings or under what conditions it should be called.

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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