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Ashtakavarga

asterwise_get_ashtakavarga
Read-onlyIdempotent

Computes full Ashtakavarga bindu matrices, trikona and ekadhipatya reductions, and sarva totals from BirthData for transit support analysis.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — confirm chart before AVK study. AFTER: asterwise_get_gochar — uses AVK scores in transit rows.

INPUT CONTRACT: BirthData only.

DO NOT CONFUSE WITH: asterwise_get_chart_strength — primary payload is Shadbala/Vimshopaka, though it embeds AVK too. asterwise_get_gochar — applies AVK scores to transits rather than exposing raw matrices.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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.

  1. Changed1 schema field changed
    • addedInput schema / properties / response_format / description
      Added value: +"Output format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload."
  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",
-  "response_format"
-]New value: +[
+  "birth"
+]
  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

A4.4/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/non-destructive behavior, so the description's job is lighter. It adds value by stating the exact computed outputs, clarifying that raw matrices are exposed here rather than applied to transits, and linking to the full output/error contract. Minor operational details like rate limits or auth are absent but not critical for a read-only compute tool.

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 description is well-structured with labeled sections—WORKFLOW, INPUT CONTRACT, DO NOT CONFUSE WITH—and the core function is front-loaded in the first sentence. It is longer than minimal, but the length is justified by the complexity of the tool and the need to disambiguate among a large sibling list.

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?

For a complex Vedic tool with a nested birth object and an output schema, the description provides the essential workflow, input restriction, sibling disambiguation, and a link to the full contract. Return-value details are not duplicated because an output schema exists, so nothing necessary for correct selection and invocation is missing.

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 input schema provides 100% parameter coverage with detailed descriptions for date, lat, lon, time, ayanamsa, timezone, person_name, and response_format, so the baseline is 3. The description adds only the high-level contract 'BirthData only,' which is useful but does not deepen per-parameter semantics beyond the schema.

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?

Description opens with a precise verb phrase—'Computes full Ashtakavarga bindu matrices, trikona and ekadhipatya reductions, and sarva totals'—clearly identifying both the resource and the computation. The 'DO NOT CONFUSE WITH' sections explicitly distinguish it from asterwise_get_chart_strength and asterwise_get_gochar, so an agent can disambiguate without opening the schema.

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?

The WORKFLOW section names a recommended predecessor (asterwise_get_natal_chart), a natural successor (asterwise_get_gochar), and why the successor uses this tool's output. It also identifies the tools most likely to be confused with this one and explains the selection difference, making when-to-use unambiguous.

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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