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AngusHsu

Lunar Calendar MCP Server

by AngusHsu

batch_check_dates

Analyze up to 30 dates at once for a chosen activity's auspiciousness. Get scores, levels, and best/worst date highlights to compare and select the optimal date.

Instructions

Efficiently analyzes multiple dates simultaneously for a specific activity's auspiciousness. Processes up to 30 dates in a single request, returning scores and levels for each date. Also identifies and highlights the best and worst dates in the batch. This bulk analysis tool is perfect for quickly evaluating several potential dates for an event, comparing options across a non-continuous date range, or conducting comparative analysis of multiple candidates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datesYesArray of dates in YYYY-MM-DD format
activityYesActivity type
cultureNoCultural traditionchinese
Behavior4/5

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

Without annotations, description discloses batch limit (30 dates), output structure (scores/levels, best/worst). Missing details on error behavior or response format but sufficient for a read-only analysis tool.

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?

Three sentences, front-loaded with purpose, each sentence adds value. No redundant or vague language.

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

Completeness5/5

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

Despite no output schema, description fully explains return values and scope. Covers input constraints, batch limit, and purpose. No critical gaps.

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

Parameters5/5

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

Adds context beyond schema: dates are multiple, up to 30, activity and culture are required for analysis. Complements schema with usage constraints.

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 it analyzes multiple dates for auspiciousness, returns scores/levels, and highlights best/worst. It distinguishes from single-date siblings like check_auspicious_date.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly describes use cases: bulk analysis, comparing options, evaluating non-continuous ranges. Lacks explicit when-not-to-use but strongly implies single-date tools are 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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