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macro_dashboard

🔒 PREMIUM (requires x402 payment, $0.08): Full US economic dashboard — all key indicators at once: Fed, inflation, yields, labor, GDP, housing. → Call via https://tooloracle.io/x402/macro/mcp/ with X-PAYMENT header. New wallets get 5 free units auto-applied.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

A4.1/5.0
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. It discloses a critical behavioral trait: the x402 payment requirement ($0.08) and the 5 free units for new wallets, which is essentially an auth/rate-limit detail. It does not describe response format or data freshness, but for a no-parameter dashboard tool, payment disclosure is the most important behavioral context.

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 two sentences and reasonably tight. It front-loads the core purpose with 'Full US economic dashboard' and then provides the key payment/call instructions. The emoji and promotional 'PREMIUM' are stylistic but not bloated; each sentence carries necessary information, though the call URL could be considered slightly extraneous.

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 low complexity (0 params, no output schema) and no annotations, the description is fairly complete: it states purpose, lists the indicator categories, and gives the payment mechanism and call endpoint. It doesn't describe the response structure, but for a dashboard aggregator with no parameters, this is adequate. The sibling-tool context further clarifies its role as a broad alternative to individual indicators.

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 tool has 0 parameters and an empty schema, so the baseline is 4. The description adds no parameter details, but none are needed. It mentions the content areas (Fed, inflation, etc.) which indirectly explains what the tool returns without parameters.

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 a specific verb and resource: a "Full US economic dashboard" covering all key indicators (Fed, inflation, yields, labor, GDP, housing). This distinguishes it from sibling tools that focus on individual indicators, providing excellent purpose clarity.

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 phrase "all key indicators at once" implies use for a comprehensive overview versus individual indicator tools, but there is no explicit guidance on when to choose this over siblings or when not to use it. Usage is implied rather than clearly stated with alternatives.

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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