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Cas Hatch proches

nearby_cases
Read-onlyIdempotent

Historical Hatch UDB cases near a point. Archive 1900–2002, approximate geocode — not live Vigi-Sky reports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude WGS84
lngNoLongitude WGS84. lon and lng are aliases — provide either.
lonNoLongitude WGS84. lon and lng are aliases — provide either.
langNo
radius_kmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
casesNo
queryNo
archiveNo
returnedNo
citationsYes
provenanceYes
not_vigisky_liveNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedOutput schema / properties / archive
      Added value: +{
      +  "type": "object"
      +}
    • addedOutput schema / properties / cases
      Added value: +{
      +  "type": "array"
      +}
    • removedOutput schema / properties / doctrine
      Removed value: -{
      -  "type": "string"
      -}
    • addedOutput schema / properties / not_vigisky_live
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / provenance / properties / never
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / query
      Added value: +{
      +  "type": "object"
      +}
    • addedOutput schema / properties / returned
      Added value: +{
      +  "type": "integer"
      +}
    • addedOutput schema / required
      Added value: +[
      +  "citations",
      +  "provenance"
      +]
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds important context beyond annotations: archive nature (UDB), date range (1900–2002), and approximate geocoding precision. This is valuable behavior disclosure that annotations alone do not convey.

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?

The description is extremely concise: two sentences with no wasted words. Every sentence is front-loaded with the core action and adds a critical qualifier (date range, geocoding precision, distinction from live reports).

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 the tool has 5 parameters, moderate schema coverage, and an output schema (so return values need no description), the description is adequately complete. It covers what the tool does, data scope, precision, and clarifies it's not live data. The only minor gap is not mentioning that lat is required and lon/lng are aliases, but the schema covers that.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 60%, and the description does not repeat parameter details. The description provides high-level context (historical archive, approximate geocode) that helps interpret parameters like radius_km and lang. For the 40% of undocumented parameters, the tool's overall purpose compensates somewhat. A minor point: the description doesn't explicitly guide on the lon/lng alias choice.

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 explicitly states the tool finds historical Hatch UDB cases near a point, with specific date range (1900–2002) and approximate geocode. It clearly distinguishes itself from live Vigi-Sky reports and by context from siblings like hatch_search and hatch_stats.

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?

The description clearly indicates the tool is for historical archive data (1900–2002) and not live reports, which helps the agent choose between this and live-report tools. However, it does not explicitly state when not to use it or name sibling alternatives, though the context signals show many related tools.

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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