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Hijri Calendar

hijri_calendar
Read-onlyIdempotent

Monthly Islamic prayer-times calendar for a city: per-day Gregorian and Hijri (Islamic calendar) dates with salah times (Fajr, Dhuhr, Maghrib, Isha).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity name, e.g. "London".
yearYesGregorian year, e.g. 2026.
monthYesGregorian month, 1-12.
methodNoPrayer-time calculation method. Default 2 = ISNA; 3 = MWL; 4 = Umm al-Qura; and others.
countryYesCountry name or code, e.g. "UK".

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "city": "Cairo",
      +    "country": "Egypt",
      +    "month": 6,
      +    "year": 2026
      +  },
      +  {
      +    "city": "Dubai",
      +    "country": "UAE",
      +    "method": 4,
      +    "month": 12,
      +    "year": 2026
      +  }
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint, idempotentHint, and destructiveHint=false, covering safety and idempotency. The description adds that it returns per-day dates and salah times, but does not disclose rate limits, precision of times, or any other behavioral details beyond what annotations provide.

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?

Single, front-loaded sentence that immediately conveys the tool's purpose. Every word earns its place; no redundancy or filler.

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?

For a monthly calendar retrieval tool with no output schema, the description adequately explains what is returned (per-day dates, both calendars, five salah times). It could mention output format or scope but is sufficiently complete for typical use.

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 100% with each parameter described (city, year, month, method, country). The description does not add meaning beyond the schema; it only describes the output. Baseline 3 is appropriate.

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 provides a monthly Islamic prayer-times calendar for a city, including per-day Gregorian and Hijri dates with five salah times. This distinguishes it from sibling tools like prayer_times (likely daily only), qibla (direction), and convert_to_hijri (date conversion only).

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 description implies usage for obtaining a monthly prayer calendar, but it does not explicitly tell when to use this tool versus siblings like prayer_times or convert_to_hijri. No when-not-to or alternative selection guidance is provided.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, though there is some overlap between `ai_visibility_check` and `scan_competitor_ai_presence`, and between `bet_research` and `polymarket_edges`. Overall, an agent can distinguish them.

Naming Consistency3/5

Tool names follow snake_case but vary in prefix usage (e.g., `pipeworx_*`, `polymarket_*`, no prefix) and verb presence (e.g., `discover_tools` vs. `generate_llms_txt`). The pattern is readable but inconsistent.

Tool Count2/5

With 24 tools, the server is overloaded for the 'Prayer Times' name. Many tools are unrelated to prayer, suggesting poor scoping relative to the server's implied purpose.

Completeness2/5

For prayer times, the server includes core tools but lacks features like multi-day forecasts or advanced settings. However, the inclusion of many unrelated tools makes the set incoherent and incomplete for any single domain.