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nasosal92

DF Market Intelligence

macro_calendar

Retrieve upcoming US economic data releases—CPI, jobs reports, GDP—for the next N days to plan trading or research around scheduled market events.

Instructions

Economic release calendar — Upcoming US economic data releases (CPI, jobs report, GDP, etc.) for the next N days. Costs $0.005 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo1-45, default 14

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are present, so the description carries the disclosure burden. It helpfully surfaces the payment model ($0.005 USDC per call, x402 on Base, auto-paid from wallet), which is genuine behavioral context. But it omits return shape, whether releases include dates/times/importance, and any timezone or coverage caveats.

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?

Two efficient sentences with the purpose front-loaded before the cost note. Every clause carries information; the cost sentence is justified since no annotation conveys it.

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?

For a simple one-param read tool this is mostly adequate, and the cost is disclosed. With no output schema and no annotations, though, the agent still cannot anticipate what a calendar entry contains or the format of returned dates/events.

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?

The single 'days' parameter is 100% covered by the schema ('1-45, default 14'). The description echoes 'next N days' but adds no constraint or format meaning beyond the schema, so baseline 3 applies.

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 gives a specific verb+resource: an 'economic release calendar' for 'upcoming US economic data releases' over 'the next N days', with concrete examples (CPI, jobs report, GDP). It's clearly distinct from a series/latest tool, though it never names the sibling (macro_latest/macro_series) to reinforce the distinction.

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?

Usage is implied by 'Upcoming ... for the next N days', which tells an agent this is the forward-looking view. However, no explicit when-to-use vs when-not, and the obvious alternatives (macro_latest, macro_series) are never referenced.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.