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LamboPoewert

MadeOnSol — Solana memecoin intelligence

madeonsol_kol_pairs

Read-onlyIdempotent

Discover KOL pairs that frequently co-trade the same tokens within a selected time window. Analyze shared token activity to reveal trading affinities.

Instructions

KOL affinity matrix — discover which KOLs frequently co-trade the same tokens within a time window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoTime period: 7d or 30d7d
min_sharedNoMinimum number of shared tokens to qualify as a pair
limitNoNumber of KOL pairs to return

Implementation Reference

  • The handler function for madeonsol_kol_pairs tool. It calls the external API endpoint /api/x402/kol/pairs with period, min_shared, and limit parameters, returning the result as text content.
    async ({ period, min_shared, limit }) => ({
      content: [{ type: "text" as const, text: await query("/api/x402/kol/pairs", { period, min_shared, limit }) }],
    })
  • Input schema for madeonsol_kol_pairs: period (7d/30d, default 7d), min_shared (1-20, default 3), limit (1-50, default 20). All validated via Zod.
    {
      period: z.enum(["7d", "30d"]).default("7d").describe("Time period: 7d or 30d"),
      min_shared: z.number().min(1).max(20).default(3).describe("Minimum number of shared tokens to qualify as a pair"),
      limit: z.number().min(1).max(50).default(20).describe("Number of KOL pairs to return"),
    },
    readOnlyAnnotations,
  • src/index.ts:185-197 (registration)
    Tool registration via server.tool('madeonsol_kol_pairs', ...) inside the registerTools function. Also listed in the server card (line 1031).
    server.tool(
      "madeonsol_kol_pairs",
      "KOL affinity matrix — discover which KOLs frequently co-trade the same tokens within a time window.",
      {
        period: z.enum(["7d", "30d"]).default("7d").describe("Time period: 7d or 30d"),
        min_shared: z.number().min(1).max(20).default(3).describe("Minimum number of shared tokens to qualify as a pair"),
        limit: z.number().min(1).max(50).default(20).describe("Number of KOL pairs to return"),
      },
      readOnlyAnnotations,
      async ({ period, min_shared, limit }) => ({
        content: [{ type: "text" as const, text: await query("/api/x402/kol/pairs", { period, min_shared, limit }) }],
      })
    );
Behavior3/5

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

Description adds context that it provides an 'affinity matrix' of co-trading KOLs, but annotations already indicate safe read operation; no new behavioral traits beyond that.

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?

Single sentence with key phrase front-loaded, no redundancy; could benefit from structure but very efficient.

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?

Lacks output format details and context for interpreting the affinity matrix; with many sibling tools and no output schema, more explanation is needed.

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 description adds no extra parameter meaning beyond what the schema provides.

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 uses a specific verb 'discover' and resource 'KOL pairs' based on co-trading tokens, clearly distinguishing from sibling KOL tools like feeds or leaderboards.

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?

No explicit guidance on when to use this tool versus alternatives like madeonsol_kol_feed or madeonsol_kol_hot_tokens; usage is implied but not clarified.

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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