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Glama

Get Token Top Holders

get_token_top_holders
Read-onlyIdempotent

Get the top holders of an ERC-20 token contract, with each holder's address and quantity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of holders to return (1-1000). Default 10.
chainidNoNumeric chain id (e.g. 1=Ethereum, 56=BNB, 137=Polygon). Defaults to server config.
contractaddressYesERC-20 token contract address.

Schema Changelog

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

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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 some context by noting that results include each holder's address and quantity, but it does not disclose ordering semantics, the unit of quantity, pagination behavior, or defaults beyond what the schema provides.

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 concise sentence that front-loads the core verb and resource. It contains no filler and every phrase contributes useful information.

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 query with well-documented parameters and annotations, the description covers the operation, the target resource, and the basic return shape. It is missing minor details like ordering direction and quantity unit, but nothing blocks a competent agent from invoking the tool correctly.

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 contractaddress, limit, and chainid. The description does not add meaningful parameter-level detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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 identifies the operation ('Get'), the resource ('top holders of an ERC-20 token contract'), and the output content ('each holder's address and quantity'). It does not explicitly differentiate itself from sibling tools like get_token_balances, but the 'top holders' framing makes the purpose distinct and unambiguous.

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 explains what the tool does but gives no guidance on when to use it or when to prefer a sibling such as get_token_balances or get_token_info. There are no exclusions, prerequisites, or contextual hints beyond the implied use case of inspecting token holder distributions.

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