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Most valuable

zora_explore_most_valuable

Discover coins with the highest market capitalization on Zora's Base mainnet. Query top-value coins to analyze market trends and identify leading assets.

Instructions

Coins with highest market capitalization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
afterNo

Implementation Reference

  • src/index.ts:304-310 (registration)
    Registration of the 'zora_explore_most_valuable' tool. Calls exploreTool helper, passing the name, the core SDK function CoinsSDK.getCoinsMostValuable, title, and description. The helper handles schema definition and handler wrapper.
    exploreTool(
      "zora_explore_most_valuable",
      // @ts-expect-error - TypeScript can't resolve barrel exports properly
      CoinsSDK.getCoinsMostValuable,
      "Most valuable",
      "Coins with highest market capitalization."
    );
  • Helper function exploreTool that registers MCP tools with standardized input schema (count, after), title, description, and a generic handler that invokes the provided fn (SDK function) and formats the response as JSON text content.
    function exploreTool(
      name: string,
      fn: (args: { after?: string; count?: number }) => Promise<unknown>,
      title: string,
      description: string
    ) {
      server.registerTool(
        name,
        {
          title,
          description,
          inputSchema: {
            count: z.number().int().min(1).max(100).optional(),
            after: z.string().optional(),
          },
        },
        async ({ after, count }) => {
          const resp = await fn({ after, count });
          return { content: [{ type: "text", text: json(resp) }] };
        }
      );
    }
  • Input schema for explore tools, including optional 'count' (1-100) and 'after' cursor parameters, defined within the exploreTool helper.
    inputSchema: {
      count: z.number().int().min(1).max(100).optional(),
      after: z.string().optional(),
    },
  • Handler function for the tool, which calls the provided SDK function (CoinsSDK.getCoinsMostValuable) with pagination params and returns formatted JSON response.
    async ({ after, count }) => {
      const resp = await fn({ after, count });
      return { content: [{ type: "text", text: json(resp) }] };
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves coins by market capitalization but lacks details on permissions, rate limits, pagination (implied by 'after' parameter), or response format. For a tool with 2 parameters and no annotations, this is a significant gap in transparency.

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 directly states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized for its content, with zero waste or redundancy.

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?

Given the tool's complexity (2 parameters, no annotations, no output schema), the description is incomplete. It covers the basic purpose but lacks details on behavior, parameter usage, and output, leaving significant gaps for an AI agent to understand how to invoke it correctly in context with siblings.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'coins with highest market capitalization', which hints at the 'count' parameter for limiting results, but doesn't explain 'after' (likely for pagination) or provide format details. With 2 parameters and no schema descriptions, the description adds minimal semantic value beyond basic inference.

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 tool's purpose: retrieving coins with the highest market capitalization. It uses specific terms ('coins', 'highest market capitalization') that distinguish it from siblings like 'zora_explore_top_gainers' or 'zora_explore_top_volume_24h', though it doesn't explicitly differentiate them. The verb 'explore' in the name suggests a read operation, which aligns with the description.

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. It doesn't mention sibling tools like 'zora_explore_top_gainers' or 'zora_explore_top_volume_24h', nor does it specify contexts or exclusions. Usage is implied by the term 'most valuable', but explicit alternatives or prerequisites are absent.

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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