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data.reverse-geocode

Read-onlyIdempotent

Resolve one latitude/longitude pair into bounded, great-circle-distance-ranked nearby GeoNames populated places with country, first-level region, population, timezone, feature code, and source freshness without a request-time network call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of nearest populated places to return.
latitudeYesLatitude in decimal degrees.
longitudeYesLongitude in decimal degrees.
radius_kmNoMaximum great-circle distance in kilometres to search for populated places.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured Global reverse geocode result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A3.9/5.0
Behavior4/5

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

The description clearly adds behavioral context beyond annotations: the tool operates offline ('without a request-time network call'), uses 'great-circle-distance-ranked' ordering, and returns specific data fields. Annotations already declare readOnlyHint, idempotentHint, and destructiveHint as true/false, so the safety profile is covered. The description further explains the offline behavior, which is a key behavioral trait.

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?

The description is a single sentence that packs significant detail (operation, input, output fields, constraints, offline nature). It is front-loaded with the core action. No waste. However, it is dense and could benefit from a slight structural break (e.g., a second sentence for when to use) for readability, but it remains efficient.

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 4 parameters (all documented in schema), an output schema (so return structure is not needed in description), and full annotation coverage, the description is nearly complete. It explains the offline nature and ranking, which are critical for correct use. The only minor gap is not explicitly stating that results exclude the input point itself (if applicable) or handling of edge cases (e.g., no places within radius).

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 description coverage is 100%, so the baseline is 3. The description does not add extra semantics for individual parameters (like formatting constraints or data source details) beyond what the schema already provides (bounds, defaults, examples). It does imply the parameters collectively define a geocoding query, but that is already clear from the tool purpose.

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 states exactly what the tool does: 'Resolve one latitude/longitude pair into bounded, great-circle-distance-ranked nearby GeoNames populated places with country, first-level region, population, timezone, feature code, and source freshness'. It clearly distinguishes from siblings like data.place-geocode (forward geocoding) and data.us-address-geocode (US-specific address geocoding), using specific verb 'resolve' and resource 'nearby GeoNames populated places'.

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?

The description implies usage for offline geocoding by mentioning 'without a request-time network call', which hints at when to use this over network-dependent alternatives. However, it lacks explicit guidance on when not to use it or alternatives for reverse geocoding with different data sources (e.g., OpenStreetMap or custom datasets). The sibling tools include forward geocoding tools, so exclusion is implicit but not stated.

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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TDQS

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources