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memecoin-radar-mcp

memecoin-radar-mcp

by kukapay
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_recent_kol_buys

Retrieve a formatted table detailing recent token purchases by memecoin Key Opinion Leaders (KOLs), including buy time, token details, and purchase amount, for tracking trends and insights.

Instructions

Retrieve recent token purchases by memecoin Key Opinion Leaders (KOLs).

Args:
    limit (int): Maximum number of buy transactions to return. Defaults to 100.

Returns:
    str: A formatted table of recent KOL buys including buy time, KOL name,
        token name, mint address, and purchase amount, or an error message if the query fails.

Raises:
    httpx.HTTPStatusError: If the Dune API request fails.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_recent_kol_buys"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the return format (formatted table with specific fields), error handling (error message on query failure), and external dependencies (Dune API request). However, it doesn't mention rate limits, authentication needs, or data freshness, leaving some behavioral aspects unclear.

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 well-structured with clear sections (Args, Returns, Raises) and front-loaded purpose. It's appropriately sized, but the 'Raises' section could be slightly more concise, and the overall text is efficient with minimal waste.

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?

Given the tool's moderate complexity (1 parameter, no output schema, no annotations), the description is largely complete. It covers purpose, parameters, return format, and error handling. However, it could improve by adding more behavioral context like rate limits or data sources, though the lack of annotations and output schema is adequately addressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds significant meaning beyond the input schema, which has 0% coverage. It explains the 'limit' parameter's purpose ('Maximum number of buy transactions to return'), default value (100), and context, fully compensating for the schema's lack of descriptions and providing clear parameter semantics.

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 specific action ('Retrieve recent token purchases') and the resource ('by memecoin Key Opinion Leaders (KOLs)'). It distinguishes this tool from sibling tools that focus on trending tokens or pumpfun graduates, making its purpose unambiguous and distinct.

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 usage for retrieving KOL buy data, but provides no explicit guidance on when to use this tool versus alternatives like sibling tools for trending tokens or graduates. It lacks context on prerequisites, exclusions, or specific scenarios where this tool is preferred.

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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