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Generate Lal Kitab Report (PDF or HTML)

reports_lal_kitab

Analyze Lal Kitab chart to identify ancestral debts (Rins) and receive personalized remedies (Upayas). Computes Teva, Kismat, and prosperity scores using sidereal astrology with Lahiri ayanamsa.

Instructions

Lal Kitab analysis: Teva (graha placements with Pakka-ghar match), Kismat & Prosperity scores, detected Rins (ancestral debts) with triggers, suggested Upayas (remedies). Sidereal compute (Lahiri ayanamsa) with sign-from-Lagna house numbering per Lal Kitab convention.

[Group: Reports] [Cost: 5,000 credits (Tier 7)] ⚠️ Premium — ~50% of free monthly budget. Confirm with user before invoking.

Example request body: {"chart":{"date":"1990-05-15","time":"14:30:00","timezoneOffset":3,"latitude":50.45,"longitude":30.52},"language":"en"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chartYesBirth data for a single natal chart. Required: date (YYYY-MM-DD), time (HH:mm:ss). Defaults to lat/lon/tz=0 if omitted; pass real values for accurate computation.
languageNo
whitelabelNo
Behavior4/5

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

Annotations indicate mutation (readOnlyHint=false) and side effects (openWorldHint=true). The description adds important behavioral context: cost (5000 credits), premium tier, need for user confirmation, use of sidereal Lahiri ayanamsa, and output format (PDF/HTML). This goes beyond annotations and helps the agent set user expectations. 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: first line states purpose and components, second line covers cost and group, third line provides an example. Every sentence adds necessary information without redundancy. Information is front-loaded for quick scanning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately describes the report contents and output format. It mentions the specific analyses included and that output is PDF or HTML. It does not cover error handling or performance, but for a report generation tool, the provided context is largely sufficient.

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?

Only 33% of parameters have schema descriptions (chart). The tool description adds semantic value for the chart parameter by specifying the computation method (sidereal Lahiri ayanamsa, sign-from-Lagna house numbering) and provides an example request. However, language and whitelabel parameters receive no additional description, so the description does not fully compensate for low schema 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 name and title clearly indicate this generates a Lal Kitab report. The description lists specific analyses (Teva, Kismat, Prosperity, Rins, Upayas), which distinguishes it from sibling tools that cover individual components, making it clear this is a comprehensive report.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a cost warning and instruction to confirm with user before invoking, which is a clear usage guideline. However, it does not provide guidance on when to use this full report versus more specific sibling tools (e.g., vedic_lal_kitab_debts, vedic_lal_kitab_kismat), missing comparative context.

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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