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fa_iranHolidayCheck

Check whether a given Jalali (Solar Hijri) date is an Iranian public holiday and return the holiday's name if it is. Use it before booking, scheduling or sending a deadline-sensitive action on an Iranian working day. Returns whether it is a holiday and which one. ($0.005 per call, USDC on Base)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "year": "<year>",
      "month": "<month>",
      "day": "<day>"
    },
    "name": "fa_iranHolidayCheck"
  }
}

Input Schema

NameRequiredDescriptionDefault
dayYes
yearYes
monthYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the return shape (holiday status plus name) and the cost model ($0.005 per call, USDC on Base), which is real value. It does not address weekends versus official holidays, timezone, invalid-date behavior, or any auth/rate-limit considerations for a paid endpoint.

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 purpose and the use case are front-loaded, and the pricing note is tucked at the end. It is short overall, though "return the holiday's name if it is" and "Returns whether it is a holiday and which one" restate the same return behavior, a small redundancy.

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?

There is no output schema and no annotations, so the description must cover everything. It handles purpose, usage, return semantics, and cost, but for a paid single-date lookup it leaves gaps around weekend handling, invalid input, and parameter ranges. Adequate but with clear holes.

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?

Schema coverage is 0% for all three required parameters, so the schema supplies no meaning. The description adds the crucial fact that the values are a Jalali (Solar Hijri) date rather than Gregorian, which applies to year/month/day. It still omits expected ranges (e.g., month 1–12) and year conventions, leaving part of the burden unmet.

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 states a specific verb and resource: check whether a given Jalali (Solar Hijri) date is an Iranian public holiday and return its name. It is clear the tool operates on a single date rather than a range or list. It does not explicitly distinguish itself from the sibling fa_iranHolidays, so the agent must infer the difference (single-date lookup vs. listing).

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?

"Use it before booking, scheduling or sending a deadline-sensitive action on an Iranian working day" gives concrete triggering scenarios. However, it names no alternatives (e.g., fa_iranHolidays for a full list) and states no exclusions or prerequisites, so the when-not side is left to inference.

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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