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Get strength, Varga and additional-Dasha depth

get_depth_analysis
Read-onlyIdempotent

Returns Vimsopaka and Ishta/Kashta evidence, topic-specific cross-Varga synthesis, special Lagnas, expanded Yoga candidates and additional-Dasha status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
nameYes
timeYes
placeNoCatalogue query or display label when explicit coordinates are supplied
topicYes
latitudeNo
timezoneNoRequired IANA timezone when explicit coordinates are supplied, for example Asia/Kolkata
longitudeNo
timezoneOffsetNoOptional fallback offset; derived from timezone and the requested local date when omitted

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds only a content inventory and no behavioral context (prerequisites, cost, why results differ from siblings). Given annotations carry the main burden, a 3 is appropriate.

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?

A single dense sentence with no filler, front-loading the returned artifacts. It is jargon-heavy but structurally efficient.

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

Completeness3/5

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

An output schema exists, so return values needn't be explained, and annotations cover safety. But for a 9-parameter composite tool with low schema coverage and zero usage guidance, the description is thin relative to the complexity it wraps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33% across 9 parameters, so the description must compensate and largely does not. It only loosely implies a topic input via 'topic-specific' and offers no guidance on place vs latitude/longitude/timezone alternatives or date/time formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and enumerates concrete outputs (Vimsopaka, Ishta/Kashta, cross-Varga synthesis, special Lagnas, Yoga candidates, additional-Dasha status), so the agent knows exactly what content comes back. However, it never differentiates itself from close siblings such as analyze_varga or calculate_strength_profile, which overlap on the same artifacts.

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

Usage Guidelines2/5

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

There is no when-to-use, when-not-to-use, or alternative-tool guidance at all. With ~40 siblings including analyze_varga and analyze_yogas, the agent has no signal for preferring this composite tool over the narrower specialists.

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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