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Dasha Transits

asterwise_get_dasha_transits
Read-onlyIdempotent

Combines active Vimshottari lords with today's transits and returns scored correlations plus transit longitudes and houses from Moon and Lagna.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — same birth data should be understood before interpreting houses and lords. AFTER: asterwise_get_gochar — optional broader transit snapshot without dasha scoring.

INPUT CONTRACT: No date field — "today" is fixed by the API. All parameters are otherwise defined in the tool schema. BirthData follows the global contract (unknown birth time: time='00:00' accepted without detection).

DO NOT CONFUSE WITH: asterwise_get_gochar — full nine-planet Gochar with AVK and vedha fields, without dasha–transit correlation scores. asterwise_get_transits — ingress and station lists over a chosen range, not today's dasha snapshot. asterwise_get_dasha — full Vimshottari tree without transit overlay.

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

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. Dates show when Glama detected each change.

  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

A4.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description's burden is lower. It adds genuinely useful behavioral context beyond annotations: 'today' is fixed by the API, unknown birth time handling follows a global contract, and a full output/error contract is linked. The 'time=00:00 accepted without detection' phrasing is mildly confusing next to the schema's 'never pass 00:00 for unknown', but it does not contradict the annotations.

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?

The core purpose is front-loaded in the opening sentence, followed by labeled sections (WORKFLOW, INPUT CONTRACT, DO NOT CONFUSE WITH) that make the content easy to scan. Although roughly 120 words, the length is earned: this tool sits amid three near-identical siblings, and the doc link at the end avoids inlining the full error contract.

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, so return-value details need no further elaboration. The description covers every other selection and invocation need: what the tool computes, what to run before and after, the fixed-today input quirk, sibling differentiators, and a link to the full output/error contract. Nothing an agent needs to correctly select and invoke this tool 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 schema already documents every parameter in detail, warranting a baseline of 3. The description adds value by explaining why there is no date parameter ('today' is fixed by the API), which prevents an agent from searching for a nonexistent field, and by pointing to the global BirthData contract for shared conventions. This goes modestly beyond the schema without duplicating it.

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 first sentence states a specific verb and resource: 'Combines active Vimshottari lords with today's transits and returns scored correlations plus transit longitudes and houses from Moon and Lagna.' It is fully distinguishable from siblings because the DO NOT CONFUSE WITH section names three lookalikes (asterwise_get_gochar, asterwise_get_transits, asterwise_get_dasha) and states exactly what each one lacks relative to this tool.

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 workflow guidance: BEFORE recommends asterwise_get_natal_chart and AFTER suggests asterwise_get_gochar, with a reason for each. The DO NOT CONFUSE WITH section gives exclusion criteria for three alternatives, and the INPUT CONTRACT explains the critical 'no date field — today is fixed' constraint an agent must know before calling.

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