Skip to main content
Glama
NaniDAO

agentek-eth

by NaniDAO

getSymbol

Retrieve ERC20 token symbols by providing token addresses and optional chain IDs for cryptocurrency research and Ethereum automation.

Instructions

Gets the symbol of an ERC20 token

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesThe token address
chainIdNoIf not specified, returns symbol 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 but offers minimal behavioral insight. It doesn't mention whether this is a read-only operation, what happens with invalid token addresses, rate limits, authentication requirements, or response format. 'Gets' implies a safe read, but explicit confirmation would help.

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 with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a simple lookup tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the return value looks like (string format, error cases), nor does it provide behavioral context needed for reliable agent usage. The 100% schema coverage helps parameters, but overall completeness is poor.

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 fully documents both parameters. The description adds no additional parameter context beyond what's in the schema (e.g., format examples, edge cases, or chainId implications). Baseline 3 is appropriate when schema does the heavy lifting.

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 verb ('Gets') and resource ('symbol of an ERC20 token'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'getTokenInfo' or 'getTokenMetadata' that might also provide symbol 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?

No guidance is provided on when to use this tool versus alternatives like 'getTokenInfo' or 'getTokenMetadata' which may return symbol data along with other information. The description lacks any context about preferred use cases or exclusions.

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