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Find the nearest NetActuate PoPs

find_nearest_data_centers
Read-only

Ranks NetActuate data centers by great-circle distance from a place named in the question: the market to be served, where the end users are, or a city being compared. Use for 'what is your closest location to Lagos', 'which sites would serve users in Japan' or latency planning. Pass the place the question is about, not where the person asking is, unless they ask for the site nearest them and say where that is. Each result is a site summary with distanceKm, nearest first. Distances are computed from city centroids, so treat them as approximate guidance, not a latency guarantee. Places are matched against a built-in list of major cities and countries; one it does not know is reported, and latitude and longitude can be passed instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many sites to return, 1 to 20.
latitudeNoLatitude in decimal degrees, with longitude, when the place name is not recognised.
locationNoThe place to measure from: the target market or the end users' city or country, e.g. 'Lagos', 'Berlin', 'Osaka, Japan'. Omit if passing coordinates.
longitudeNoLongitude in decimal degrees, with latitude, when the place name is not recognised.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / latitude / description
      Previous value: -"Latitude, if the place name is not recognised."New value: +"Latitude in decimal degrees, with longitude, when the place name is not recognised."
    • changedInput schema / properties / limit / description
      Previous value: -"How many sites to return."New value: +"How many sites to return, 1 to 20."
    • changedInput schema / properties / longitude / description
      Previous value: -"Longitude, if the place name is not recognised."New value: +"Longitude in decimal degrees, with latitude, when the place name is not recognised."
  2. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnly/non-destructive/non-open-world, and the description adds substantial extra context: distances come from city centroids and are approximate guidance, not latency guarantees, and unrecognized places are reported rather than silently dropped. These caveats go well beyond the structured safety hints.

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?

Front-loads the core purpose in the first clause, then layers examples and caveats. Every sentence carries weight, though the final sentence about the built-in city list and coordinate fallback is dense and could be tightened.

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?

No output schema exists, yet the description still outlines the return shape ('a site summary with distanceKm, nearest first'). Combined with the accuracy caveat and coordinate fallback, an agent has everything needed to call and interpret results.

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%, so the baseline is 3, but the description adds real semantic value: it specifies that 'location' should be the target market/end-user place rather than the asker's location, and that lat/long is the fallback when a name is unrecognized. That clarifies intent beyond the schema's field-level docs.

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 a specific verb and resource: ranks NetActuate data centers by great-circle distance from a named place. This is clearly distinct from siblings like list_data_centers (enumerate) or get_data_center (fetch one), so an agent can route without opening either schema.

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?

Gives concrete when-to-use triggers ('what is your closest location to Lagos') and a genuine when-not nuance about passing the place the question is about rather than where the asker is. It stops short of naming an explicit alternative sibling for the non-geo case, so it is strong context without full alternative routing.

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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