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agentfuel402

agentfuel402

by ak10082247-max
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

fuel_sdk_spec

Retrieves live PyPI or npm package metadata, including current stable version, license, and dependency count, for $0.005 USDC via x402.

Instructions

Queries live PyPI or npm registry metadata for latest stable version, license, and dependency count. Cost: $0.005 USDC via x402.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "package": "<package>"
    },
    "name": "fuel_sdk_spec"
  }
}

Input Schema

NameRequiredDescriptionDefault
packageYesPackage name on PyPI or npm
ecosystemNopypi

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses the $0.005 USDC x402 cost and that metadata is live, but it does not explain payment mechanics, authentication, error handling, rate limits, or freshness guarantees.

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 are tightly structured: the purpose is front-loaded and the cost is appended without waste. Every sentence earns its place.

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 low-complexity two-parameter tool with no output schema, the description is largely complete: it names the returned fields and discloses cost. It could be stronger by explaining how x402 payment is handled, but the core operational picture is present.

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?

Schema coverage is 50%: the package parameter is described, and ecosystem has an enum and default. The description reinforces the ecosystem options by naming PyPI and npm, but it does not add meaning beyond the schema, such as package name formatting or ecosystem-specific behavior.

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, resource, and return fields: it queries live PyPI or npm registry metadata for latest stable version, license, and dependency count. This is clear enough for an agent to distinguish it from unrelated siblings like fuel_b2b_leads or fuel_clean_markdown.

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?

The description implies the usage context by saying it queries package registry metadata, but it gives no explicit when-to-use guidance, exclusions, or comparisons to alternatives. The implied usage is adequate but not proactive.

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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