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Lal Kitab Chart

asterwise_get_lal_kitab_chart
Read-onlyIdempotent

Produces a Lal Kitab chart from BirthData following the 1952 Lal Kitab: houses counted from the Vedic lagna, the lagna house read as house 1 (Aries). Returns planets with pakka ghar, uchcha/neecha, fixed or doubtful effect and malefic reasons, the twelve houses, and the nine Lal Kitab debts (rin).

WORKFLOW: BEFORE: None — standalone for Lal Kitab queries. AFTER: asterwise_get_lal_kitab_remedies — remedies for the planets that need them.

INPUT CONTRACT: BirthData global contract. ayanamsa: lahiri (default), raman or kp is used as sent; tropical is refused (INVALID_PARAMS) because Lal Kitab starts from the sidereal Indian chart. Unknown birth time: omit time (a sunrise chart is cast and birth_time_provided=false); houses are then approximate.

DO NOT CONFUSE WITH: asterwise_get_natal_chart — classical radix, not Lal Kitab rules. asterwise_get_lal_kitab_remedies — remedies only, for the planets that need them.

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

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

A4.8/5.0
Behavior5/5

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

Annotations already declare this is a read-only, idempotent, non-destructive operation, so the bar is lower; the description goes well beyond them by disclosing that tropical ayanamsa is refused with INVALID_PARAMS, that omitting time yields a sunrise chart with birth_time_provided=false and approximate houses, and that the output enumerates specific derived structures.

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?

Front-loaded purpose sentence followed by clearly labeled WORKFLOW, INPUT CONTRACT, and DO NOT CONFUSE WITH sections; the structure makes scanning fast. It is somewhat long, and the docs URL/last line is minor overhead, but each block carries actionable content rather than filler.

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?

An output schema exists and the description summarizes the returned structures rather than restating them; combined with the ayanamsa constraint, unknown-time fallback, error behavior, and sibling routing, nothing an agent needs to invoke this correctly is missing.

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 description coverage is 100%, so the baseline is 3, but the description adds real semantics the schema lacks: it clarifies that ayanamsa options are used 'as sent' except tropical, which the schema lists as a valid enum value but the tool rejects, and it explains the unknown-birth-time behavior of the time parameter. That is meaningful guidance beyond the field descriptions.

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 a specific verb and resource ('Produces a Lal Kitab chart from BirthData') and grounds it in a named system ('following the 1952 Lal Kitab: houses counted from the Vedic lagna'). It also enumerates what the chart contains (pakka ghar, uchcha/neecha, twelve houses, nine rin) and explicitly separates itself from asterwise_get_natal_chart, so an agent can pick it correctly 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?

Provides explicit BEFORE/AFTER workflow chaining (standalone, then asterwise_get_lal_kitab_remedies for planets needing remedies) and a 'DO NOT CONFUSE WITH' block naming the two nearest siblings with the condition that distinguishes them. Nothing about when-to-use 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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