Skip to main content
Glama

nansen: nansen_token_screener

nansen_token_screener
Read-onlyIdempotent

Screen tokens across multiple chains by volume and smart money activity to identify trending tokens with significant smart money involvement.

Instructions

Screen tokens by volume, smart money activity, and chain. Find trending tokens that smart money is trading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainsYesChains to screen across
timeframeNoTimeframe (e.g. 24h, 7d)24h
smart_money_onlyNoFilter to show only smart money activity
per_pageNoResults per page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removedv1.1.0
  3. First observedv1.0.0

TDQS

A3.8/5.0
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 safety context is covered. The description adds the screening dimensions (volume, smart money, chain) but does not disclose return format, pagination, or any edge cases. It provides some behavior context beyond annotations but not extensive.

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?

Two sentences, front-loaded with the action, and no redundant content. Every word contributes to understanding the tool's purpose and basic functionality.

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 simple filtered-list tool with strong annotations (readOnly, idempotent) and a well-described schema, the description covers the core purpose. It slightly lacks explicit mention of output (e.g., 'returns a list of tokens') and clarification of 'volume', but these are minor given the annotations and schema.

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% (each parameter has a description), so baseline is 3. The description adds context by mentioning 'volume' and 'smart money activity', but 'volume' is not an actual parameter, which could confuse. It aligns with smart_money_only but does not enhance parameter understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function with a specific verb ('screen') and resource ('tokens'), and specifies the criteria (volume, smart money activity, chain). It distinguishes itself from sibling tools like nansen_smart_money_trades or nansen_smart_money_flows by focusing on token screening rather than specific transaction flows or holdings.

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?

The description implies a use case ('Find trending tokens that smart money is trading') but does not explicitly state when to use this tool versus alternatives. It lacks exclusions or references to related nansen tools, which is a missed opportunity given the number of nansen siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools