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calculate_prashna
Read-onlyIdempotent

Casts a server-time horary chart, checks chart fitness, and returns an auditable structural judgment plus outcome-confirmation hook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
placeNoCatalogue query or display label when explicit coordinates are supplied
categoryYes
languageNoen
latitudeNo
questionYes
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 readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds useful context beyond that: it validates chart fitness (implying it may flag an unfit chart) and returns an auditable judgment. It still omits what happens on a failed fitness check or how place vs. explicit coordinates are reconciled.

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 the core action front-loaded and no filler. It is slightly jargon-heavy ('outcome-confirmation hook'), but every clause carries information.

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-value explanation is not required, and the description notes the auditability of the result. For a complex 8-parameter tool with low schema coverage, though, the definition leaves key input decisions (location source, category choice) unguided.

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 38%, so the description is expected to compensate, and it does not. It provides no meaning for any of the 8 parameters and never clarifies how the place-only vs. latitude/longitude/timezone paths differ or what 'category' or 'language' affect.

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 (casts) and a specific resource (a server-time horary chart), then states the internal steps: fitness check and a structural judgment. 'Server-time' meaningfully scopes it apart from natal-chart siblings that rely on birth data. However it never names a sibling tool or explicitly contrasts itself with them, so it falls short of a 5.

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 or when-not-to-use guidance, and no alternative is named. The 'outcome-confirmation hook' hints at a follow-up with record_prashna_outcome but never says so, leaving routing entirely to inference.

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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