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AgenticFinanceGraph

Agentic Finance Graph MCP Server

Who paid an agent, and whether its reviews come from payers (free)

payer_set
Read-onlyIdempotent

Lists up to 250 wallets that paid an agent, with USD totals and first/last payment dates, and shows how much ERC-8004 feedback comes from paying reviewers.

Instructions

The wallets observed paying one agent (income into its bound wallets, plus counted payments from other registered agents), up to 250, with payments, USD and first and last paid; and how much of its ERC-8004 feedback is payment-grounded (the reviewer paid the agent before rating it). Pass the addresses as clientAddresses to the Reputation Registry's getSummary to read only reviews from wallets that paid. Observed payers are a lower bound, and payment-grounded is not independent: a payer under the same operator grounds its own reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentYesBase ERC-8004 token id, act_8453_N, or a ranked agent's slug or bound wallet
limitNoHow many payers to list (largest by USD first)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive, closed-world behavior, yet the description adds real interpretation context: the 250 cap, that observed payers are a lower bound, and that payment-grounded reviews are not independent because a same-operator payer grounds its own reviews. Those caveats materially affect how an agent reads the result.

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?

Three sentences, each carrying load, with the resource definition front-loaded. The first sentence is extremely dense and jargon-heavy, which slightly hurts scannability, but nothing is padding.

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?

With no output schema, the description carries the return-shape burden and does so, naming payments, USD, first/last paid, and the feedback grounding measure. Combined with the cap and independence caveats, an agent has enough to call and interpret it, though the dense jargon leaves some ambiguity.

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?

Schema description coverage is 100%, so the schema already documents both agent and limit. The description restates the 250 ceiling and USD ordering rather than adding new syntax or format detail, so the baseline 3 applies.

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 states a specific verb+resource: the wallets observed paying one agent, plus how much of its ERC-8004 feedback is payment-grounded. An agent can tell it returns a payer set with USD/timestamps and a grounding ratio, distinct from siblings like agent_record or pay_check. Sibling differentiation is implicit rather than explicit, so it falls short of a 5.

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?

It gives a downstream usage tip (pass the addresses as clientAddresses to getSummary to read only paid reviews) but never states when to choose payer_set over siblings such as counterparty_preview or agent_independence. Usage is implied by the returned data rather than framed as a decision rule.

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