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Build a source-grounded chart remedy protocol

analyze_remedies
Read-onlyIdempotent

Combines the topic evidence ledger, belief/cost/burden preferences, Iṣṭa and guiding Devatā calculation, Muhurta-as-remedy routing, named charity, conduct, and the full planet repertoire: mantras, gemstones, vrata and Lal Kitab book remedies. Every candidate exposes its source.

Input Schema

NameRequiredDescriptionDefault
dateYes
nameNo
timeYes
placeNoCatalogue query or display label when explicit coordinates are supplied
topicYes
detailNobrief omits internal audit sections; full returns the complete protocolbrief
asOfDateNo
languageNoen
latitudeNo
timezoneNoRequired IANA timezone when explicit coordinates are supplied, for example Asia/Kolkata
longitudeNo
preferencesYes
timezoneOffsetNoOptional fallback offset; derived from timezone and the requested local date when omitted
birthTimeAccuracyMinutesNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / required
      Previous value: -[
      -  "schemaVersion",
      -  "diagnosis",
      -  "chartDiagnosis",
      -  "remedyFamilyEligibility",
      -  "eligiblePractices",
      -  "traditionalChartRemedies",
      -  "traditionalRemedyStatus",
      -  "sourceCoverage",
      -  "decisionTrace",
      -  "contraindications",
      -  "followUp"
      -]New value: +[
      +  "schemaVersion",
      +  "diagnosis",
      +  "eligiblePractices",
      +  "traditionalChartRemedies",
      +  "traditionalRemedyStatus",
      +  "contraindications",
      +  "followUp"
      +]
  2. Changed3 schema fields changed
    • addedInput schema / properties / detail
      Added value: +{
      +  "default": "brief",
      +  "description": "brief omits internal audit sections; full returns the complete protocol",
      +  "enum": [
      +    "brief",
      +    "full"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / language
      Added value: +{
      +  "default": "en",
      +  "enum": [
      +    "en",
      +    "te"
      +  ],
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "name",
      -  "date",
      -  "time",
      -  "topic",
      -  "preferences"
      -]New value: +[
      +  "date",
      +  "time",
      +  "topic",
      +  "preferences"
      +]
  3. Changed1 schema field changed
    • changedInput schema / properties / topic / enum
      Previous value: -[
      -  "career",
      -  "education",
      -  "property",
      -  "relationships",
      -  "spirituality",
      -  "wealth"
      -]New value: +[
      +  "career",
      +  "education",
      +  "property",
      +  "relationships",
      +  "spirituality",
      +  "wealth",
      +  "health",
      +  "children"
      +]
  4. First observed

TDQS

B3.2/5.0
Behavior3/5

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 useful context that every candidate exposes its source and that belief/cost/burden preferences constrain the output, but it doesn't explain how preferences filter results or what happens on missing/invalid inputs.

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?

Two sentences, front-loaded with the core purpose and followed by the component list. Dense but every clause names a distinct output domain; the enumerated repertoire reads slightly list-like but is not padded.

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 need not be explained. However, for a complex 14-parameter tool with a nested required preferences object and an anyOf location constraint, the description omits prerequisites and input expectations, leaving the agent to infer them from the schema.

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 only 29%, so the description carries extra burden. It does map to the nested preferences object (belief/cost/burden) and the topic ledger, but it says nothing about date/time/place, the coordinate-vs-place anyOf requirement, or detail/language semantics, leaving most of the 14 parameters to the schema alone.

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 gives a concrete verb (combines/calculates) and names the specific artifact produced: a chart remedy protocol spanning mantras, gemstones, vrata, charity, conduct and Lal Kitab remedies, with source exposure. It is specific about scope, but it never distinguishes itself from near-overlapping siblings like build_remedy_repertoire, analyze_lal_kitab_remedies or explore_lal_kitab_remedy_catalog.

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 explicit when-to-use or when-not-to-use guidance. With siblings such as build_remedy_repertoire, suggest_safe_practice and analyze_lal_kitab_remedies in the same space, the agent is given no criteria for choosing this tool over them.

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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