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pack/payment-verification

pack_payment_verification
Read-only

3 free MCP calls per day (all tools together), then $0.008 USDC via x402 or card credits (paid in-band: params._meta["x402/payment"]). FreeTier Payment Verification pack: Verify a blockchain transaction before you trust it: live status (confirmed, pending or failed) plus a plain-language explanation of what the transaction actually did. One call for agents that handle payments. Info: https://freetier-agent-api.pages.dev/packs/payment-verification

Input Schema

NameRequiredDescriptionDefault
hashYesTransaction hash to verify

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and the description adds genuinely non-obvious behavior: the free-tier quota (3 calls/day across all tools), the $0.008 USDC x402 / card-credit cost, and that payment is passed in-band via params._meta["x402/payment"]. It does not explain supported chains or behavior on unknown hashes, but the monetization mechanics are a meaningful disclosure.

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 pricing line is front-loaded and the core capability follows immediately, with the info URL last. Minor waste: 'FreeTier Payment Verification pack' restates the tool title, and the pricing boilerplate is longer than the tool-specific content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and annotations cover read-only semantics. For a blockchain verification tool, though, the description omits chain coverage and failure behavior for unknown or unmined hashes, which are the details an agent most needs before calling.

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?

There is a single parameter, fully described in the schema at 100% coverage ('Transaction hash to verify'), so the schema already does this job. The description does not add format details (chain scoping, hash length, multichain handling), leaving it at the baseline for full-coverage schemas.

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?

States a specific verb and resource (verify a blockchain transaction) and enumerates the outputs: live status plus a plain-language explanation of what the transaction did. That clearly differentiates it in substance from single-purpose siblings like tx_status and tx_explain, but it never names those siblings, so an agent must infer that this is the combined 'both in one call' option.

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?

'Verify a blockchain transaction before you trust it' and 'One call for agents that handle payments' imply the use case, so usage is inferable. However, given that tx_status and tx_explain exist as overlapping siblings, the description never says when to pick this pack over them, nor does it state exclusions or prerequisites.

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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