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search_ground_stations

Read-only

Search earth stations by name, operator, frequency band, or geographic proximity. Use 'near' with latitude, longitude and radius km to find stations within range, sorted by distance.

Instructions

Search ground / earth stations by name, frequency band, operator, or geographic proximity (near='lat,lon' within radius_km, ordered by great-circle distance). Proximity defaults to the authoritative FCC IBFS registry (reliable coordinates); band/entity searches use the entity-linked extracted set. Each result is labeled with its source. Use for 'earth stations within 200km of 38.9,-77.0' or an operator's gateway footprint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bandNoFrequency band, exact match against the station's band list (e.g. Ku); requires source=extracted
nameNoSubstring match on station name / FCC call sign
nearNoProximity anchor as 'lat,lon' (e.g. '38.9,-77.0'); returns stations within radius_km ordered by distance
limitNoMax results (default 50, max 500)
sourceNoDataset: 'fcc' (authoritative FCC IBFS registry, reliable coordinates) or 'extracted' (entity-linked, LLM-extracted from filings, carries bands). Defaults to fcc for proximity, extracted for band/entity searches.
operatorNoSubstring match on operator / licensee name
entity_idNoFilter by resolved operator entity UUID; requires source=extracted
radius_kmNoSearch radius in km for near= (default 500)
Behavior5/5

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

Annotations declare readOnlyHint=true, and the description adds transparency by stating results are ordered by great-circle distance and labeled with source. No contradictions; it provides useful behavioral context beyond 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?

The description is efficiently structured: a summary sentence, followed by source details and an example. Every sentence adds value without redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters and no output schema, the description comprehensively covers search functionality, source selection logic, defaults, ordering, and examples. It leaves no ambiguity for agent invocation.

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

Parameters5/5

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

Although schema description coverage is 100%, the description adds significant meaning: it clarifies the interplay between source, near, band, operator, and default radius. For example, it states band search requires source=extracted, which enriches the schema.

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 searches ground/earth stations by name, frequency band, operator, or geographic proximity, with specific examples. It distinguishes from sibling search tools by detailing its unique capabilities.

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

Usage Guidelines5/5

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

The description explains when to use each source (fcc vs extracted) and provides explicit examples like 'earth stations within 200km of 38.9,-77.0'. It also notes default behaviors for proximity vs band/entity searches, giving clear guidance.

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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