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Base USDC Receivables Auditor

Get prepaid credit purchase information

get_payment_info
Read-onlyIdempotent

Free instructions for buying this service's prepaid credits with direct native Base USDC. The funding transfer is separate from receivables being audited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYes
schemeYes
chainIdYes
networkYes
packagesYes
receiverYes
redeemFlowYes
buyerPaysGasYes
purchasePathYes
assetDecimalsYes
x402CompatibleYes
facilitatorRequiredYes
reconciliationCreditsYes
reconciliationCostCreditsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare this a read-only, idempotent, non-destructive, closed-world operation, so the safety profile is covered. The description adds genuinely useful context beyond that: the credits are purchased with native Base USDC, the operation is free, and the funding transfer is distinct from audited receivables — which steers the agent away from treating this as a payment or reconciliation action.

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 short sentences with essentially no filler, and the key point (free instructions for buying credits) is front-loaded. The second sentence is a caveat rather than padding, though its phrasing is slightly indirect.

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 zero-parameter, read-only tool with an output schema that already documents return values, this is close to complete. The one residual gap is that the description does not explicitly characterize the returned content as instructions rather than transactional data.

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 the baseline of 4 applies; there are no argument semantics for the description to clarify. Nothing in the description contradicts or under-specifies the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that the tool returns instructions for buying prepaid credits with native Base USDC, which is more than a restatement of the name. However, it never says plainly what is returned (address, quote, step-by-step instructions) or that this is purely informational rather than a payment action. It contrasts obliquely with receivables auditing, so sibling differentiation is only partial.

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

Usage Guidelines2/5

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

There is no explicit statement of when to call this tool versus siblings like get_credit_balance or reconcile_usdc_receivables, and no prerequisites are given. The audience must infer usage from the phrase 'instructions for buying ... credits'.

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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