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Analyze one divisional chart

analyze_varga
Read-onlyIdempotent

Analyze one divisional chart

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
nameYes
timeYes
placeNoCatalogue query or display label when explicit coordinates are supplied
topicNo
vargaYes
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

D1.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered. The description adds essentially nothing beyond a hint that a single varga is analyzed; it says nothing about computation cost, required chart data quality, or output shape. It does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

It is short and front-loaded, but this is under-specification rather than conciseness: the single phrase simply repeats the title and earns no additional place in the definition.

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

Completeness1/5

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

For a 10-parameter tool with a complex anyOf location branch, enum-constrained varga and topic, and an output schema, a four-word restatement of the title is wholly inadequate. An agent cannot determine inputs or expectations from the description alone.

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 30% across 10 parameters, so the description is required to compensate and does not. It never explains the varga enum, the place-vs-coordinates anyOf branch, or the meaningless-to-an-agent 'topic' enum, leaving key parameters undocumented.

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

Purpose2/5

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

Tautological: description restates name/title.

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

Usage Guidelines1/5

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

There is no guidance on when to call this versus analyze_chart_topic, analyze_house, or the many structure-specific analyzers. No prerequisites, no exclusions, no context about requiring accurate birth data.

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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