Asterwise

Gochar

asterwise_get_gochar

Read-onlyIdempotent

Computes Gochar against the natal Moon and Lagna and returns per-planet transit longitudes, houses, AVK scores, vedha flags, and a roll-up summary.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — anchors what "natal" means for the same birth record. AFTER: asterwise_get_dasha_transits — adds dasha-lord correlation for today.

INPUT CONTRACT: target_date (string, optional — YYYY-MM-DD): date to compute transits for; defaults to today if omitted. BirthData follows the global contract (time='00:00' accepted without unknown-time detection).

DO NOT CONFUSE WITH: asterwise_get_transits — ingress and station tables for a chosen date window, not a single-day Gochar snapshot. asterwise_get_dasha_transits — scores how transits meet active dasha lords, not the full nine-planet Gochar row set.

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

Input Schema

TableJSON Schema

Name	Required	Description	Default
`birth`	Yes	Birth data for a single person.
`target_date`	No	Date in YYYY-MM-DD format. Defaults to today when omitted.
`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 / response_format / description

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

addedInput schema / properties / target_date / description

Added value: +"Date in YYYY-MM-DD format. Defaults to today when omitted."

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

A4.5/5.0

Behavior4/5

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

Annotations already establish readOnlyHint, idempotentHint, and destructiveHint=false, so the description does not need to restate safety. It adds valuable behavioral context: target_date defaults to today, time='00:00' is accepted without unknown-time detection, and the output includes a roll-up summary. It also links to the full output/error contract, though it does not surface error semantics inline.

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 well-organized with clear labeled sections: the one-line behavior summary, WORKFLOW, INPUT CONTRACT, and DO NOT CONFUSE WITH. Every sentence contributes either selection guidance, invocation requirements, or output expectations — there is no 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?

For a tool with nested birth parameters, optional dates, output-format options, and many sibling tools, the description covers preconditions, disambiguation, input defaults, output contents, and a link to the full contract. The presence of an output schema means return-value details do not need to be spelled out here.

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?

Schema description coverage is 100%, so the schema already documents all parameter meanings; baseline 3 applies. The description adds a little beyond the schema by noting the '00:00' handling nuance and pointing to the global BirthData contract, but it largely restates the target_date default already present in 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?

The description opens with a strong verb and resource: 'Computes Gochar against the natal Moon and Lagna'. It then enumerates the specific return contents — per-planet transit longitudes, houses, AVK scores, vedha flags, and a roll-up summary — making the tool's function unambiguous. The 'DO NOT CONFUSE WITH' section sharpens differentiation from siblings.

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 running asterwise_get_natal_chart first and asterwise_get_dasha_transits after, giving concrete sequencing guidance. The DO NOT CONFUSE WITH section states exactly why asterwise_get_transits and asterwise_get_dasha_transits are different, so an agent can route between them without guessing.

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

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