Geo Timezone
geo_timezoneResolve a timezone using nearest ZIP centroid logic. Demo mode allows selected sample coordinates.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lat | Yes | Latitude. | |
| lon | Yes | Longitude. |
geo_timezoneResolve a timezone using nearest ZIP centroid logic. Demo mode allows selected sample coordinates.
| Name | Required | Description | Default |
|---|---|---|---|
| lat | Yes | Latitude. | |
| lon | Yes | Longitude. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish the tool as read-only, idempotent, and non-destructive. The description adds some behavioral context by revealing the nearest-ZIP-centroid methodology and mentioning demo mode, but it does not clarify accuracy expectations, geographic coverage, or what demo mode actually changes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loads the core purpose in the first sentence. The second sentence about demo mode earns some space but is vague and could be clearer without adding length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, but the description omits important operational details: it does not state the return value format, whether non-US coordinates are supported, or what 'Demo mode allows selected sample coordinates' actually means. This creates real ambiguity for an agent deciding whether and how to invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema fully documents lat and lon, so the description does not need to repeat their definitions. The description adds minimal extra meaning beyond the coordinate types, providing no range, format, or coordinate-system details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action and resource: 'Resolve a timezone' from latitude/longitude. The additional 'nearest ZIP centroid logic' distinguishes it from sibling geo tools like geo_enrich or geo_zip_lookup, making the tool's unique role clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives such as geo_zip_lookup, geo_city_search, or geo_enrich. The phrase 'Demo mode allows selected sample coordinates' hints at a constraint but does not explain when demo mode applies or when production behavior differs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.
All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).
129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.
Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.