Asterwise

Ashtottari Dasha

asterwise_get_ashtottari_dasha

Read-onlyIdempotent

Computes the 108-year Ashtottari Dasha tree with configurable depth (levels 1–5) and returns periods under data.periods.root with DD/MM/YYYY dates.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — chart context before choosing between Ashtottari and Vimshottari. AFTER: asterwise_get_dasha — optional Vimshottari comparison.

INPUT CONTRACT: levels: same as asterwise_get_dasha (1–5), enforced locally before the API call. Periods use data.periods.root[], not data.periods[]. Dates in periods are DD/MM/YYYY.

DO NOT CONFUSE WITH: asterwise_get_dasha — standard 120-year Vimshottari with data.periods[], not Ashtottari or data.periods.root[]. asterwise_get_yogini_dasha — 36-year Yogini cycle with yogini names on each row.

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

Input Schema

TableJSON Schema

Name	Required	Description	Default
`birth`	Yes	Birth data for a single person.
`levels`	No	Depth of the dasha tree: 1 returns major periods only, each extra level adds the next sub-period layer.
`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.

Changed2 schema fields changedSep 5, 2026

addedInput schema / properties / levels / description

Added value: +"Depth of the dasha tree: 1 returns major periods only, each extra level adds the next sub-period layer."

addedInput schema / properties / response_format / description

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

Changed8 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"

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

A4.8/5.0

Behavior5/5

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

The description discloses key behavioral details: the output location (data.periods.root[]), date formatting (DD/MM/YYYY), depth semantics, and local validation of levels. It also links to the full output and error contract. The readOnly and idempotent annotations align with the described compute-and-return behavior, with no contradiction.

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-organized into workflow, input contract, and disambiguation sections, making it easy to parse. It is slightly repetitive (e.g., mentioning data.periods.root and DD/MM/YYYY twice), but the structure and clarity justify the length.

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 presence of nested objects and an output schema, the description is complete: it specifies input constraints, output shape, date formats, related tools, and a link to the full contract. An agent has enough context to invoke the tool correctly and understand expected results.

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?

The input schema already provides thorough descriptions for all parameters, including defaults, formats, and allowed values. The description adds useful context about level validation and the relationship to sibling tools, though it does not dramatically expand on the schema's already high coverage.

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 precisely states that the tool computes the 108-year Ashtottari Dasha tree with configurable depth and returns periods under data.periods.root. It also explicitly distinguishes this tool from asterwise_get_dasha (Vimshottari) and asterwise_get_yogini_dasha, leaving no ambiguity about its purpose.

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 description provides clear workflow guidance, recommending asterwise_get_natal_chart before use and asterwise_get_dasha for optional Vimshottari comparison. It also includes explicit 'DO NOT CONFUSE WITH' notes, which effectively tells an agent when to use this tool versus closely related siblings.

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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