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HellenicStar Astrology MCP Server

HellenicStar Astrology MCP Server

scan_planetary_aspects

Read-onlyIdempotent

Scan exact planetary aspects between any two bodies over UTC date ranges, returning precise event times or orb entry/exit windows to support transit and synastry timing analysis.

Instructions

Scan exact planetary aspects over UTC inclusive date ranges (1800–2399, max 200 years). Arbitrary supported body pair and angles [0,180]; tropical geocentric apparent Swiss Ephemeris, mean nodes by default. Uses bracketed roots and relative-speed station splits. mode=orb_window returns clipped entry/exit windows plus exact events; orb_deg is separate from exact. output_precision: exact_datetime, date, year_summary. timezone_name is optional IANA zone. Cycle IDs and hit indices are query-local directed-angle groups, not universal cycle numbering. See docs/planetary-aspect-scan.md. Server checks run before successful results are returned. Before interpreting this data, call verify_calculation_claims with its unchanged calculation_reference and draft source-field claims. Correct contradicted facts and reverify before the final answer. Psychological interpretations are not checked. Optional detail_level=summary previews object/nested rows (up to five), preserves complete scalar membership lists, and marks truncation; include selects top-level content fields. Omit both for the original full result. Verification references always identify the complete checked calculation.

Input Schema

NameRequiredDescriptionDefault
modeNoexact
aspectsNo
includeNoOptional 1-30 top-level content field names, each 1-80 characters. Omit to return all content. Control/provenance fields remain; unknown or control field names return invalid_input with available_fields. Known selectable fields: event_count, events, windows, year_summary. Use these exact names.
orb_degNo
end_dateYes
planet_aYes
planet_bYes
start_dateYes
detail_levelNofull returns complete calculation content. summary previews up to five object/nested rows per list, preserves scalar membership lists, and reports omitted counts. References still identify the full calculation.full
timezone_nameNo
output_precisionNoexact_datetime

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.7
    • changedInput schema / properties / include / description
      Previous value: -"Optional 1-30 top-level content field names, each 1-80 characters. Omit to return all content. Control/provenance fields remain; unknown or control field names return invalid_input with available_fields."New value: +"Optional 1-30 top-level content field names, each 1-80 characters. Omit to return all content. Control/provenance fields remain; unknown or control field names return invalid_input with available_fields. Known selectable fields: event_count, events, windows, year_summary. Use these exact names."
  2. Changed2 schema fields changed
    • addedInput schema / properties / detail_level / description
      Added value: +"full returns complete calculation content. summary previews up to five object/nested rows per list, preserves scalar membership lists, and reports omitted counts. References still identify the full calculation."
    • addedInput schema / properties / include / description
      Added value: +"Optional 1-30 top-level content field names, each 1-80 characters. Omit to return all content. Control/provenance fields remain; unknown or control field names return invalid_input with available_fields."
  3. First observedv0.1.0

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), yet the description adds real substance: Swiss Ephemeris tropical geocentric apparent basis, mean nodes as default, bracketed-root solving with relative-speed station splits, server-side checks before results return, and query-local (non-universal) cycle IDs. This is well beyond annotation coverage; only the response shape/pagination remains implicit.

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

Conciseness3/5

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

Front-loaded with the scope and semantics, which is good, but the prose is dense run-on text mixing mechanics, cycle-ID caveats, verification workflow, and result-shaping options. Roughly a third of the words are the verify_calculation_claims protocol, which crowds out parameter detail the schema doesn't supply.

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?

For an 11-parameter, multi-mode tool with no output schema and 18% schema coverage, the description covers mechanics, precision options, and result shaping, but not output field names (only 'windows', 'year_summary' appear in the include schema), body-name vocabulary, or date string formats. An agent could call it but would be guessing on inputs and re-reading results.

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 coverage is only 18%, so the description must carry the load, and it explains mode, orb_deg ('separate from exact'), output_precision values, timezone_name as an optional IANA zone, detail_level=summary vs include, and the [0,180] aspect angle bound. But the four required parameters are essentially untouched: planet_a/planet_b naming is only 'arbitrary supported body pair' with no enumerations, and start_date/end_date format is never stated. That leaves the most critical inputs underspecified.

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?

Names a specific verb and resource ('Scan exact planetary aspects') and pins the scope tightly: UTC inclusive ranges, years 1800–2399, 200-year cap. It never names a sibling such as calculate_aspect_windows or calculate_transits_to_natal, so the agent can describe the tool but must infer which of several aspect/window tools to pick.

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

Usage Guidelines3/5

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

Offers mode-level guidance implicitly ('mode=orb_window returns clipped entry/exit windows plus exact events') and a mandatory downstream step: call verify_calculation_claims before interpreting results. However it never states when to prefer this over the many sibling calculation tools, nor any prerequisites or exclusions beyond the date bounds.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.