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chainread__erc20_transfers

Recent ERC-20 Transfer logs for a token, optionally filtered to one wallet (as sender or receiver), newest first. Base or Ethereum. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: POST https://api.firstmention.uk/s/chainread/erc20-transfers

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "chainread__erc20_transfers"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainNo
limitNoMax transfers 1-100
tokenYesERC-20 contract address
addressNoOptional wallet to filter by
to_blockNo
from_blockNo

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?

No annotations are provided, so the description has to carry the full load of behavioral disclosure, and it does more than most: it states the cost ($0.01 per call), the payment asset and network (USDC on Base, eip155:8453), the x402 payment parameter location, and the HTTP transport. It does not explain pagination or rate limits, and it does not say how block ranges interact with the 'recent' window.

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 text is front-loaded with the purpose and scope, then moves to chain, then cost and transport, and every clause carries information. The phrasing is compact rather than bloated, though the payment and endpoint details are dense enough that they slightly crowd out the query semantics.

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?

For a six-parameter read tool with no output schema and no annotations, the definition covers purpose, cost and transport well, but leaves the agent guessing about the shape of the returned logs, pagination behavior, and how from_block and to_block bound the 'recent' window. Those gaps matter for a tool whose value is its result set.

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 schema description coverage is 50%, and the description adds real meaning for three parameters: token scope, the address filter acting on sender OR receiver, and the chain enum values. It is silent on limit, from_block and to_block, and the last two have no schema descriptions either, so those semantics remain opaque.

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 gives a specific verb and resource: it returns 'Recent ERC-20 Transfer logs' for one token, with an optional wallet filter and a defined ordering ('newest first'). That is enough to distinguish it from sibling lookup tools such as chainread__token or chainread__tx, but it never names those siblings or states the distinction explicitly.

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 explains when the optional wallet parameter applies ('as sender or receiver') and names the two supported chains, which lets an agent infer when to use the tool. There is no explicit when-to-use and when-not guidance and no comparison with sibling tools that could also surface token activity or transfer data.

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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