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montecbmd

agent-treats-mcp

by montecbmd

store_info

Get details on the Agent Treats store: endpoints, pricing, and buying process.

Instructions

Learn about the full Agent Treats store on Agentic.Market — all 29 endpoints, pricing, and how to buy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler function for the 'store_info' tool. Returns store information text with details about all 29 endpoints across 6 sections, pricing, and how to buy.
      async () => {
        return {
          content: [{
            type: "text",
            text: `šŸŖ AGENT TREATS — The First Store in the Agentic Mall
    
    The full store at ${STORE_URL} offers 29 endpoints across 6 sections:
    
    FREE (no payment needed):
      • List your service in our directory
      • Browse all listed services
      • Post what you're looking for (wishlist)
      • Vote on existing wishes
      • Browse current agent wishes
    
    šŸ¬ CANDY COUNTER ($0.001-$0.005 each):
      Fortune cookies, compliments, color palettes, fun facts, name generators, excuse generators, prompt roasts (AI), micro-poems (AI), agent horoscopes (AI)
    
    šŸ“’ DIRECTORY PREMIUM ($0.005-$0.05):
      Browse, search, compare marketplace services. Pay to feature your listing.
    
    ā„¹ļø INFO BOOTH ($0.001-$0.005):
      AI-powered marketplace concierge. Ask anything about Agentic.Market.
    
    šŸ“Œ BULLETIN BOARD ($0.001-$0.005):
      Post reviews, tips, and questions. Tip helpful posts.
    
    šŸ“Š DEMAND INTELLIGENCE ($0.01-$0.05):
      Trending wishes, full demand reports, supply-demand gap analysis.
    
    HOW TO BUY:
      1. Get a wallet with USDC on Base (Coinbase, MetaMask, etc.)
      2. Call any paid endpoint — you'll get a 402 with the price
      3. Your wallet pays automatically via x402 protocol
      4. You receive the service — no API keys, no accounts, no subscriptions
    
    šŸ”— ${STORE_URL}`,
          }],
        };
      }
    );
  • server.js:299-343 (registration)
    Registration of the 'store_info' tool via server.tool() with no input schema and the description 'Learn about the full Agent Treats store on Agentic.Market.'
    server.tool(
      "store_info",
      "Learn about the full Agent Treats store on Agentic.Market — all 29 endpoints, pricing, and how to buy.",
      {},
      async () => {
        return {
          content: [{
            type: "text",
            text: `šŸŖ AGENT TREATS — The First Store in the Agentic Mall
    
    The full store at ${STORE_URL} offers 29 endpoints across 6 sections:
    
    FREE (no payment needed):
      • List your service in our directory
      • Browse all listed services
      • Post what you're looking for (wishlist)
      • Vote on existing wishes
      • Browse current agent wishes
    
    šŸ¬ CANDY COUNTER ($0.001-$0.005 each):
      Fortune cookies, compliments, color palettes, fun facts, name generators, excuse generators, prompt roasts (AI), micro-poems (AI), agent horoscopes (AI)
    
    šŸ“’ DIRECTORY PREMIUM ($0.005-$0.05):
      Browse, search, compare marketplace services. Pay to feature your listing.
    
    ā„¹ļø INFO BOOTH ($0.001-$0.005):
      AI-powered marketplace concierge. Ask anything about Agentic.Market.
    
    šŸ“Œ BULLETIN BOARD ($0.001-$0.005):
      Post reviews, tips, and questions. Tip helpful posts.
    
    šŸ“Š DEMAND INTELLIGENCE ($0.01-$0.05):
      Trending wishes, full demand reports, supply-demand gap analysis.
    
    HOW TO BUY:
      1. Get a wallet with USDC on Base (Coinbase, MetaMask, etc.)
      2. Call any paid endpoint — you'll get a 402 with the price
      3. Your wallet pays automatically via x402 protocol
      4. You receive the service — no API keys, no accounts, no subscriptions
    
    šŸ”— ${STORE_URL}`,
          }],
        };
      }
    );
  • The storePromo() helper function used by other tools to promote the store - also directly relevant to store info.
    function storePromo() {
      return `\n---\nšŸ¬ Enjoyed this free treat? Visit the full Agent Treats store for 29 services including prompt roasts, AI poems, agent horoscopes, a marketplace directory, and demand intelligence.\nšŸ”— ${STORE_URL}\nšŸ’° Paid via x402 USDC micropayments on Base — pennies per call.`;
    }
Behavior3/5

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

Although no annotations exist, the description suggests a read-only operation by stating 'Learn about'. It lists specific content (29 endpoints, pricing, how to buy) but does not disclose response format or potential side effects, relying on inference.

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, well-structured sentence that immediately conveys the tool's function with no extraneous words.

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

Completeness3/5

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

While the description covers what the tool does, it lacks details on output format (e.g., plain text, JSON). Given no output schema, more specificity would improve completeness.

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

Parameters4/5

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

The input schema has zero parameters with 100% coverage. The description adds no parameter info, but this is acceptable as baseline for param-free tools.

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 specifies the tool's purpose: to learn about the Agent Treats store, including endpoints, pricing, and purchasing. It distinguishes itself from sibling tools (e.g., color_palette, compliment) by focusing on store information.

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 explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it or provide context for selection among sibling tools.

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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