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Feegate AI Agent data marketplace catalog & platform metrics

fee_quote

Feegate 合作方案与结算规则报价(免费):三档抽成(Self-serve 50% / Managed 40% / Enterprise 30%)、一次性服务费、四项单项服务价格、结算周期与最低结算额。给数据持有方推荐合作方式前先调这个拿权威报价。

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does add useful context — the call is free (免费) and is the authoritative source of pricing — which implies a safe read-only lookup. However, it says nothing about authentication, rate limits, caching/staleness of the quoted prices, or whether the quote is a binding offer, which matters for a pricing tool.

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?

Two sentences, front-loaded with the resource and followed by the concrete contents and the usage cue. The parenthetical percentages are dense but each carries information an agent needs to decide relevance. Minor verbosity from the double enumeration of fees and prices.

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?

With zero parameters, an output schema present, and a simple read-only lookup, the description covers everything an agent needs: what the tool returns, that it costs nothing, and when to invoke it. Return-value detail is correctly left to the 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 tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly implies a no-argument, global quote rather than a per-customer calculation.

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 (Feegate partnership/settlement fee quote) and enumerates exactly what it returns: three commission tiers with percentages, a one-time service fee, four individual service prices, settlement cycle and minimum settlement amount. This is clearly distinguishable from siblings like product_detail or marketplace_catalog, which describe products rather than pricing/settlement terms.

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

Usage Guidelines4/5

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

It gives an explicit trigger condition: call this first to obtain authoritative pricing before recommending a partnership model to a data holder. That is real when-to-use guidance. It stops short of naming when-not-to-use conditions or pointing at an alternative sibling for related pricing needs, so it falls just below the top mark.

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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