Skip to main content
Glama
NaniDAO

agentek-eth

by NaniDAO

getDecimals

Retrieve the decimal precision of ERC20 tokens by providing the token address and optional chain ID for accurate cryptocurrency calculations and research.

Instructions

Gets the number of decimals of an ERC20 token

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesThe token address
chainIdNoIf not specified, returns decimals for all supported chains.
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Gets' implies a read-only operation, it doesn't specify whether this requires network calls, has rate limits, returns cached data, or handles errors. For a tool with zero annotation coverage, this is insufficient behavioral context.

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 that communicates the core purpose without any wasted words. It's appropriately sized for a simple lookup tool and gets straight to the point.

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 simple read operation with good schema coverage but no annotations or output schema, the description is minimally adequate. It states what the tool does but lacks important context about behavior, alternatives, and return format that would be helpful for an AI agent.

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, with both parameters ('token' and 'chainId') well-documented in the schema itself. The description doesn't add any meaningful parameter semantics beyond what the schema already provides, so it meets the baseline expectation but doesn't enhance understanding.

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 action ('Gets') and resource ('number of decimals of an ERC20 token'), making the purpose immediately understandable. However, it doesn't differentiate from potential siblings like 'getTokenMetadata' or 'getTokenInfo' that might also provide decimal information, preventing a perfect score.

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 provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'getTokenMetadata' that might include decimals, there's no indication whether this is the preferred method for obtaining decimal information or when other tools might be more appropriate.

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/NaniDAO/agentek'

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