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igmizo

auseklis

by igmizo

Compute Transits

compute_transits
Read-onlyIdempotent

Compute aspects between current planetary positions and a natal chart to reveal how transiting planets interact with birth placements.

Instructions

Compute the aspects from a transiting sky to a natal chart — how the planets at one moment relate to the planets at a birth moment.

Examples:

  • "What's transiting my chart today, born 1990-03-15 15:45 Riga time?" -> { natal_datetime: "1990-03-15T15:45", natal_timezone: "Europe/Riga" } (transit_datetime defaults to now)

For the exact date a specific transit perfects, use find_aspect_times instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
natal_datetimeYesBirth date and time.
natal_timezoneNoIANA timezone the datetime is local to, e.g. "Europe/Riga" or "America/New_York". Omit when the datetime already carries Z or a UTC offset.
transit_datetimeNoMoment of the transiting sky. Defaults to now.
transit_timezoneNoIANA timezone the datetime is local to, e.g. "Europe/Riga" or "America/New_York". Omit when the datetime already carries Z or a UTC offset.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
transitsYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that transit_datetime defaults to 'now', which is valuable behavioral context beyond the schema and annotations.

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?

Very concise: a single line defining the tool, a clear example, and a pointer to an alternative. No filler or redundant information.

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 moderate complexity (4 params, 1 required) and an output schema, the description covers the core use, provides an example, and mentions default behavior. Slightly incomplete regarding output details, but output schema covers that.

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 coverage is 100%, so baseline is 3. The description provides an example showing how parameters are used but adds no extra meaning beyond what the schema already provides for each parameter.

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 description clearly states it computes aspects from a transiting sky to a natal chart, with a specific verb and resource. It distinguishes from the sibling tool 'find_aspect_times' by mentioning its use for exact dates.

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

Usage Guidelines4/5

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

Provides a clear use case with examples and explicitly names an alternative tool for when a specific perfecting date is needed. However, no explicit 'when not to use' or comparison to all siblings like compute_synastry.

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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