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Asterwise

by com.asterwise.mcp

Varshaphal

asterwise_get_varshaphal
Read-onlyIdempotent

Computes the annual Tajika-style solar return for a four-digit civil year and returns Muntha, Pancha Adhikari metrics, Tajika aspects, and varshaphal positions.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — baseline radix before annual overlay. AFTER: None.

INPUT CONTRACT: year is a plain int sent as target_year upstream; callers must supply the true Gregorian return year, not age.

DO NOT CONFUSE WITH: asterwise_get_dasha — multi-decade Vimshottari, not one solar return. asterwise_get_transits — ingress/station timeline, not annual Tajika chart.

Full output and error contract: https://docs.asterwise.com/mcp/tools/get-varshaphal/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear of the solar return to compute, four digits, e.g. 2026.
birthYesBirth data for a single person.
response_formatNoOutput format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Changed2 schema fields changed
    • addedInput schema / properties / response_format / description
      Added value: +"Output format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload."
    • addedInput schema / properties / year / description
      Added value: +"Year of the solar return to compute, four digits, e.g. 2026."
  2. Changed8 schema fields changed
    • changedInput schema / properties / birth / properties / date / description
      Previous value: -"Birth date in YYYY-MM-DD format. Example: '1985-11-12'"New value: +"Birth date YYYY-MM-DD."
    • changedInput schema / properties / birth / properties / lat / description
      Previous value: -"Birth latitude in decimal degrees. North positive, south negative. Example: 19.0760 for Mumbai, -33.8688 for Sydney"New value: +"Latitude in decimal degrees, north positive (Mumbai 19.076)."
    • changedInput schema / properties / birth / properties / lon / description
      Previous value: -"Birth longitude in decimal degrees. East positive, west negative. Example: 72.8777 for Mumbai, -74.0060 for New York"New value: +"Longitude in decimal degrees, east positive (Mumbai 72.8777)."
    • changedInput schema / properties / birth / properties / person_name / description
      Previous value: -"Name of the person for this chart. Example: 'Arjun Mehta'"New value: +"Person's name, used in labels only."
    • changedInput schema / properties / birth / properties / time / description
      Previous value: -"Birth time in HH:MM 24-hour format. Example: '06:45'. Omit entirely if the birth time is unknown: a sunrise chart is used and birth_time_provided returns false. Do not pass '00:00' for an unknown time, it is treated as a real midnight birth and returns a confidently wrong ascendant."New value: +"Birth time HH:MM (24h), e.g. '06:45'. Omit if unknown (a sunrise chart is used and birth_time_provided=false); never pass '00:00' for unknown."
    • changedInput schema / properties / birth / properties / timezone / description
      Previous value: -"IANA timezone for the birth location. Examples: 'Asia/Kolkata' (India), 'America/New_York' (New York), 'Europe/London' (London), 'Asia/Tokyo' (Japan), 'America/Los_Angeles' (Los Angeles), 'Europe/Paris' (Paris), 'Asia/Dubai' (Dubai), 'Asia/Singapore' (Singapore), 'America/Chicago' (Chicago), 'Australia/Sydney' (Sydney). Default: Asia/Kolkata"New value: +"IANA timezone of the birth place, e.g. 'Asia/Kolkata', 'America/New_York', 'Europe/London'. Default: Asia/Kolkata"
    • addedInput schema / properties / response_format / default
      Added value: +"markdown"
    • changedInput schema / required
      Previous value: -[
-  "birth",
-  "year",
-  "response_format"
-]New value: +[
+  "birth",
+  "year"
+]
  3. Changed6 schema fields changed
    • addedInput schema / properties / birth / properties / time / anyOf
      Added value: +[
+  {
+    "pattern": "^\\d{2}:\\d{2}$",
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
    • addedInput schema / properties / birth / properties / time / default
      Added value: +null
    • changedInput schema / properties / birth / properties / time / description
      Previous value: -"Birth time in HH:MM format (24-hour). Example: '06:45'. Use '00:00' if unknown."New value: +"Birth time in HH:MM 24-hour format. Example: '06:45'. Omit entirely if the birth time is unknown: a sunrise chart is used and birth_time_provided returns false. Do not pass '00:00' for an unknown time, it is treated as a real midnight birth and returns a confidently wrong ascendant."
    • removedInput schema / properties / birth / properties / time / pattern
      Removed value: -"^\\d{2}:\\d{2}$"
    • removedInput schema / properties / birth / properties / time / type
      Removed value: -"string"
    • changedInput schema / properties / birth / required
      Previous value: -[
-  "date",
-  "time",
-  "lat",
-  "lon"
-]New value: +[
+  "date",
+  "lat",
+  "lon"
+]
  4. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive; the description adds useful context such as the recommended baseline chart and the true-return-year requirement. It also points to a full output/error contract, though it does not describe response specifics beyond what the output schema already covers.

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?

Labeled sections (WORKFLOW, INPUT CONTRACT, DO NOT CONFUSE WITH) front-load the use case and keep caveats scannable. No wasted sentences, and the docs link serves as a useful escape hatch.

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 tool with a nested birth object, output schema, and a large sibling family, the description covers workflow, input contract, and exclusions. It does not explicitly distinguish this umbrella varshaphal tool from asterwise_get_varshaphal_harsha_bala/saham, but the docs link and output schema close most gaps.

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?

Schema covers 100% of parameters, so baseline is 3; the description goes beyond the schema by clarifying that year is a raw Gregorian return year, not an age, and refers to it as 'target_year upstream,' preventing a common misuse.

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?

States the exact computation ('annual Tajika-style solar return') and the concrete outputs (Muntha, Pancha Adhikari metrics, Tajika aspects, varshaphal positions), and explicitly distinguishes itself from asterwise_get_dasha and asterwise_get_transits.

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

Usage Guidelines5/5

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

Provides an explicit BEFORE workflow (natal chart baseline), warns 'DO NOT CONFUSE WITH' two siblings, and adds the year-not-age input contract. This gives clear when-to-use and when-not-to-use guidance.

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

A3.9/5.0
Disambiguation3/5

Many tools are well-differentiated by explicit 'DO NOT CONFUSE WITH' notes, but the sheer number of near-neighbor pairs (e.g., crystal vs gemstone recommendations, natal chart variants, dasha systems, compatibility systems, tarot draw variants) creates real selection risk. The descriptions mitigate overlap, but an agent browsing 103 tools will struggle to pick the right one.

Naming Consistency5/5

Every tool follows the asterwise_get_* or asterwise_draw_* prefix convention with a clear noun phrase (e.g., asterwise_get_natal_chart, asterwise_draw_tarot_cards). The two verbs 'get' and 'draw' are semantically appropriate, and there are no camelCase or mixed-style names.

Tool Count1/5

103 tools is far beyond a manageable MCP surface. While the domain is broad (Vedic astrology, Western astrology, numerology, tarot, crystals, dream symbols), the server bundles multiple distinct domains into one namespace, making it nearly impossible for an agent to discover the right tool efficiently.

Completeness4/5

The surface is impressively comprehensive across astrology, numerology, tarot, and remedies, with deep coverage of dasha systems, compatibility frameworks, and chart types. Minor gaps exist (e.g., no tarot interpretation endpoint, no batch operations, no update/delete since it's read-only data), but for a reference/prediction API the coverage is strong.

Resources