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Get Token Transfers

get_token_transfers
Read-onlyIdempotent

Get token transfer events for an address, optionally filtered by token contract. Select the token standard: erc20 (fungible, default), erc721 (NFT), or erc1155 (multi-token).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based).
sortNoSort order by block number.
offsetNoRecords per page (max 10000).
addressNoAccount address.
chainidNoNumeric chain id (e.g. 1=Ethereum, 56=BNB, 137=Polygon). Defaults to server config.
endblockNoEnd block number.
standardNoToken standard: erc20 (default), erc721, or erc1155.
startblockNoStart block number.
contractaddressNoToken contract address to filter by.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the default token standard (erc20) and the optional contract filter behavior, which is useful beyond the annotations. It doesn't mention pagination or response limits, but those are hinted in the schema (page/offset).

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 description is compact and front-loaded with the core purpose, followed by the optional filter and token-standard guidance. The token-standard list and defaults are useful and concise. Minor redundancy exists with the schema's enum documentation, but the practical guidance is worthwhile.

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 read-only list endpoint with fully documented schema and 100% parameter coverage, the description is sufficient for an agent to select and invoke it. Output structure is absent, but no output schema exists and the description's role in describing returns is minor. The lack of explicit pagination behavior guidance is a small gap.

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 every parameter. The description adds value by explaining the default standard and the filtering concept, but it does not elaborate on parameter relationships, like how contractaddress only applies to the chosen standard. This is adequate but not exceptional.

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 ('Get') and resource ('token transfer events for an address'), and adds optional filter context. It doesn't explicitly contrast with sibling tools like get_internal_transactions or get_transactions, but the token-specific focus and standard selection make the purpose clear and reasonably distinctive.

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

Usage Guidelines4/5

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

The description conveys clear usage context: use this tool for token transfer events, optionally filtered by token contract, with a token standard selector. It does not explicitly name alternatives or exclusion conditions, but the narrow scope and token-standard discussion imply when it applies versus sibling transaction/log tools.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools target clearly distinct data types: balances, transactions, logs, contracts, tokens, gas, and chains. The main confusion risk is between get_transaction_status, get_transaction_receipt_status, and get_transaction_receipt, which all relate to transaction outcomes and could be easily misselected.

Naming Consistency5/5

Every tool follows the get_<object> or get_<object>_<qualifier> snake_case pattern. The naming is highly predictable and makes the tool purpose evident from the name alone.

Tool Count3/5

20 tools is on the heavier side, approaching the upper bound for a coherent MCP server. However, given Etherscan's broad read-only domain—addresses, transactions, contracts, tokens, logs, and gas—the count is defensible even if it feels somewhat large.

Completeness4/5

The toolset covers the major Etherscan data-access patterns: balances, normal/internal transactions, receipts, token transfers, contract ABI/source/creation, logs, and gas. Obvious gaps like fetching a block by number/hash or listing transactions within a block are missing, but agents can accomplish most explorer workflows.

Resources