Asterwise

Vimshottari Dasha

asterwise_get_dasha

Read-onlyIdempotent

Computes Vimshottari Dasha from birth data and returns hierarchical period trees plus current Maha/Antar interpretation blocks.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — establishes chart and Moon context before interpreting Dasha lords. AFTER: asterwise_get_dasha_transits — correlates active Dasha lords with transits for the same birth data.

INPUT CONTRACT: levels (int, default 2, max 5): tree depth — 1 = Mahadasha only; 2 adds Antardasha; 3 Pratyantar; 4 Sookshma; 5 Prana (much larger payload). Response dates in periods[] use DD/MM/YYYY, not ISO. BirthData fields follow global contract (date YYYY-MM-DD, time HH:MM; time='00:00' is accepted without flag — lagna-sensitive timing may be wrong if birth time is unknown).

DO NOT CONFUSE WITH: asterwise_get_char_dasha — classical sign-based periods with ISO dates on periods[], not planet-based Vimshottari. asterwise_get_yogini_dasha — 36-year eight-Yogini cycle with data.periods.root[], not Vimshottari. asterwise_get_ashtottari_dasha — 108-year alternative tree with data.periods.root[] and same levels semantics as this tool.

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

Input Schema

TableJSON Schema

Name	Required	Description	Default
`birth`	Yes	Birth data for a single person.
`levels`	No	Depth of the Vimshottari tree, 1-5: 1 = Mahadasha only, 2 adds Antardasha (default), 3 Pratyantar, 4 Sookshma, 5 Prana (much larger payload).
`response_format`	No	Output format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload.	markdown

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

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

Changed2 schema fields changedSep 5, 2026

addedInput schema / properties / levels / description

Added value: +"Depth of the Vimshottari tree, 1-5: 1 = Mahadasha only, 2 adds Antardasha (default), 3 Pratyantar, 4 Sookshma, 5 Prana (much larger payload)."

addedInput schema / properties / response_format / description

Added value: +"Output format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload."

Changed9 schema fields changedSep 4, 2026

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"

changedInput schema / properties / levels / default
```
Previous value: -3New value: +2
```
addedInput schema / properties / response_format / default
```
Added value: +"markdown"
```

changedInput schema / required

Previous value: -[
-  "birth",
-  "response_format"
-]New value: +[
+  "birth"
+]

Changed6 schema fields changedJul 25, 2026

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"
+]

First observedApr 22, 2026

TDQS

A4.9/5.0

Behavior5/5

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

Annotations already mark the tool read-only and idempotent, and the description adds substantial behavioral context: response dates use DD/MM/YYYY rather than ISO, unknown birth time can make lagna-sensitive timing wrong even when '00:00' is accepted, and tree depth levels affect payload size. A full output and error contract URL is also provided.

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 description is longer than average but tightly organized with WORKFLOW, INPUT CONTRACT, and DO NOT CONFUSE WITH sections, each earning its place. The core purpose is front-loaded, and the structured format makes it easy for an agent to scan and apply.

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?

Given the output schema exists and annotations cover safety, the description still supplies the missing contextual pieces: workflow sequencing, sibling-tool disambiguation, date-format caveats, and a link to the full output/error contract. This is a complete operating manual for the tool.

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. The description adds genuine value beyond the schema: it clarifies the levels max of 5, warns about the DD/MM/YYYY date format in periods[], and explains the '00:00' birth-time edge case. This extra context pushes it above the baseline.

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 opens with a specific verb and resource: 'Computes Vimshottari Dasha from birth data' and explicitly states the return shape: 'hierarchical period trees plus current Maha/Antar interpretation blocks.' It also names and distinguishes multiple sibling dasha tools, so an agent can identify this tool unambiguously.

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 explicitly recommends calling asterwise_get_natal_chart before and asterwise_get_dasha_transits after, giving clear sequencing guidance. The DO NOT CONFUSE WITH section lists three alternative dasha tools and their key differences, providing both when-to-use and when-not-to-use signals.

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.

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