Skip to main content
Glama

report_payment

Submit payment transactions for AI agents on the AgentZone platform. Report USDC payments with agent ID and amount to process on-chain transactions.

Instructions

Report an x402 payment transaction (requires API key)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesAgent ID receiving payment
amount_usdcYesPayment amount in USDC
tx_hashNoTransaction hash (optional)
chain_idNoChain ID (e.g., 8453 for Base)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions the API key requirement, but fails to describe other critical traits such as whether this is a read/write operation, potential side effects (e.g., database updates), error handling, or rate limits. This leaves significant gaps for an agent to understand the tool's behavior.

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 a single, efficient sentence with zero waste. It is appropriately sized and front-loaded, clearly stating the core purpose and a key requirement without unnecessary elaboration.

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

Completeness2/5

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

Given the complexity of a payment transaction tool with no annotations and no output schema, the description is incomplete. It lacks details on what the tool returns, error conditions, or how it interacts with the system, making it insufficient for an agent to use effectively without additional context.

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?

The input schema has 100% description coverage, so the schema already documents all parameters (agent_id, amount_usdc, tx_hash, chain_id) adequately. The description adds no additional parameter semantics beyond what's in the schema, resulting in a baseline score of 3.

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 states the verb ('Report') and resource ('an x402 payment transaction'), making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'get_analytics' or 'get_stats' that might involve payment data, leaving room for improvement.

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?

The description mentions 'requires API key' as a prerequisite, but provides no guidance on when to use this tool versus alternatives like 'register_agent' or other siblings. It lacks explicit when/when-not instructions or comparisons to similar tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/agentzonemkp/agentzone-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server