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Chart Strength

asterwise_get_chart_strength
Read-onlyIdempotent

Aggregates Shadbala, Bhavbala, Vimshopaka (with per-varga contributions), embedded sixteen vargas, Ashtakavarga, karaka maps, and graha yuddha pairs from BirthData.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — contextualises houses before reading bala tables. AFTER: asterwise_get_yogas — optional configuration pass after strength review.

INPUT CONTRACT: BirthData only; no extra toggles.

DO NOT CONFUSE WITH: asterwise_get_yogas — boolean yoga catalogue, not numeric bala. asterwise_get_ashtakavarga — standalone AVK when strength bundle is not needed.

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

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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context: it aggregates from BirthData only, has no extra toggles, and points to a full output/error contract. This goes beyond what annotations alone provide, though it stops short of describing the exact output shape or error modes.

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-structured with clear WORKFLOW, INPUT CONTRACT, and DO NOT CONFUSE WITH sections. Every sentence earns its place: the opening lists what is returned, the workflow sections guide sequencing, and the confusion section prevents mis-selection. It is longer than a one-liner, but the complexity of the tool justifies 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?

Despite the high complexity of the astrological content, the description is complete for an agent: it lists the returned data bundles, gives workflow context, names the relevant alternative tools, states the input contract, and links to the full output/error contract. The output schema also exists, so the description does not need to explain return values in detail. Nothing critical is missing.

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 input schema fully documents birth and response_format, including nested fields and defaults. The description adds only the contract-level note 'BirthData only; no extra toggles,' which is marginally useful but not necessary given the schema's completeness. Baseline 3 is appropriate.

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 ('Aggregates') and enumerates the exact resources returned: Shadbala, Bhavbala, Vimshopaka with varga contributions, sixteen vargas, Ashtakavarga, karaka maps, and graha yuddha pairs. It also explicitly differentiates itself from similar siblings in the DO NOT CONFUSE WITH section, so an agent can tell it apart from asterwise_get_yogas and asterwise_get_ashtakavarga.

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 gives explicit before/after context: run asterwise_get_natal_chart before and asterwise_get_yogas after. The DO NOT CONFUSE WITH section states exact conditions for choosing alternatives, such as using asterwise_get_ashtakavarga when the full strength bundle is not needed. This is strong when-to-use and when-not-to-use guidance.

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