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starter_pack

Pay-per-call via standard x402 v1 (USDC on Base): the AI-Agent Starter Pack - x402 endpoint catalog with copy-paste curl, plus an 8-point agent-readiness checklist. Price 0.50 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it clearly discloses the key behavior: this is a 'Pay-per-call' endpoint costing '0.50 USDC on Base' via x402 v1. It does not detail response format or error behavior, but the paid nature and price are openly stated.

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 brief and front-loads the payment mechanism before describing the contents. There is minor redundancy between 'Pay-per-call' and 'Price 0.50 USDC,' but the overall length is appropriate and every sentence adds relevant information.

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?

Given there is no output schema, the description adequately explains the expected deliverable and the cost. It could be more explicit about the return format, but for a simple informational pack with no parameters, the core details are present.

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 parameter semantics are trivially covered. The description adds useful context about what the deliverable contains, which is sufficient for a parameterless tool.

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?

The description clearly identifies the tool's deliverable: an 'x402 endpoint catalog with copy-paste curl, plus an 8-point agent-readiness checklist.' It is distinct in content from the sibling tools, though it does not explicitly name or contrast them.

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 tool should be used when an agent wants the AI-Agent Starter Pack, x402 endpoint examples, or the agent-readiness checklist. It provides context but no explicit when-to-use guidance or alternatives, so the usage situation is only inferred.

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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