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Focxle: virtual cards and spend limits for AI agents

payments_how_it_works

Explains how the payment rail works for agents: paying from your own wallet with no account, wallets we manage, spend mandates, reputation, receipts and intent enforcement. Call this first if you are new to the wallet_* and data_* tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It describes the tool as explanatory and enumerates the topics covered, implying a read-only, informational behavior. However, it doesn't explicitly state 'no side effects' or 'read-only', though the verb 'explains' makes this largely clear.

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?

The description is two sentences, front-loaded with the core purpose, then lists covered topics and provides a usage directive. Every sentence adds value with no redundancy.

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?

For a simple informational tool with no parameters and no output schema, the description is complete: it explains what the tool covers and when to call it. It also references related tool groups (wallet_* and data_*), providing sufficient context for an agent to use it appropriately.

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 has 0 parameters, so the baseline is 4. The description doesn't need to add parameter details since none exist, and the schema already covers the empty parameter set.

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 clearly states the tool explains how the payment rail works, listing specific topics (paying from own wallet, managed wallets, spend mandates, reputation, receipts, intent enforcement). It distinguishes itself from sibling tools like hiring_how_it_works by focusing on payments and explicitly referencing wallet_* and data_* tools.

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

Usage Guidelines5/5

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

Provides explicit usage guidance: 'Call this first if you are new to the wallet_* and data_* tools.' This tells the agent when to invoke it and implies it should be used before those tools, offering clear contextual direction.

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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