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utilpeek: geocode a city name or reverse-geocode coordinates

geocode
Read-onlyIdempotent

utilpeek: offline geocoding over the GeoNames cities15000 table. Input: either place alone (1-120 chars; forward: up to 5 ranked candidates with lat, lon, country_code, admin1_code, population, timezone) or lat (-90..90) and lon (-180..180) together (reverse: the nearest city with distance_km). place matches cities of 15,000+ people offline ("City" or "City, CC" with an ISO country code or a US state code); no match is a 404 place_not_found (not charged). Cities only (no street addresses). Typically under 0.1 s (first call up to 1 s). Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day (every utilpeek route shares one pool). Data: GeoNames (geonames.org) cities15000, CC BY 4.0; credit it when you show or republish it (the attribution field carries the text).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoReverse: latitude (-90..90); give lat and lon together, or place.
lonNoReverse: longitude (-180..180); give lat and lon together, or place.
placeNoForward: city name, optionally "City, CC" (ISO country or US state code); give place alone, or lat and lon.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations cover safety (readOnly, idempotent, non-destructive, openWorld), and the description adds substantial extra context: typical latency under 0.1 s with a 1 s cold-start, per-call price, the shared 10-call/day free pool per IP, and the 404-not-charged behavior. The data source and attribution obligation are also disclosed.

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?

Dense but well front-loaded: the core mechanism leads, then input shape, then matching, error, latency, pricing, free tier, and licensing in short labeled fragments. Slightly list-heavy and the price/licensing tail could be tightened, but nothing is redundant.

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?

With no output schema, the description takes on the burden of explaining return values and does so (candidate fields, distance_km on reverse, attribution field). Combined with error behavior, latency, and rate limits, an agent has everything needed to call and interpret this tool.

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 coverage is 100% and the schema descriptions already state the lat/lon ranges and the either/or rule, so the baseline is 3. The description goes further by explaining the match semantics (only cities 15,000+, 'City, CC' parsing) and enumerating returned fields (lat, lon, country_code, admin1_code, population, timezone, distance_km), which meaningfully enriches parameter understanding.

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?

States the specific verb+resource (offline geocoding over GeoNames cities15000) and immediately distinguishes the two modes, forward (place) and reverse (lat/lon), with the exact result shape of each. No sibling tool in the list does city-level geocoding, so the agent can select it unambiguously.

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?

Gives explicit mode-selection rules ('place alone' vs 'lat and lon together'), the accepted input formats ('City' or 'City, CC' with ISO country or US state code), and a clear exclusion: cities only, no street addresses. It also names the failure condition (404 place_not_found, not charged), which is when-not 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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