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overpass.ch

Heights of points

elevation
Read-onlyIdempotent

Heights above sea level in metres for a list of points, negative at sea. Switzerland and Liechtenstein: swissALTI3D, a 2 m grid of the ground (credit "© swisstopo"). Elsewhere on land: Copernicus GLO-30, a 30 m grid of the surface that includes buildings and trees. At sea: GEBCO. Each point counts as one lookup; account_status shows the plan maximum per call.

Input Schema

NameRequiredDescriptionDefault
pointsYesthe points, each with lat and lon
max_charsNomost characters of the answer to show; larger answers are cut, and offset shows the next part

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, non-destructive and closed-world, so the description is free to add what they can't: ground vs. surface modelling (Copernicus includes buildings and trees), 2 m vs. 30 m resolutions, negatives at sea, and an attribution obligation ('credit © swisstopo'). Only the return shape and behaviour for unsupported points are left unstated.

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-loaded with the core output (metres above sea level, negative at sea), followed by coverage, then billing. The telegraphic source list is dense but every clause carries information; nothing is padded.

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?

For a two-parameter read-only lookup this covers accuracy expectations, geographic coverage, licensing and cost. With no output schema, the one remaining gap is that it never states the response is a per-point list of heights in input order.

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 lat/lon bounds and max_chars truncation-with-offset behaviour are already documented in the schema. The description adds only that each point is billed as one lookup, a useful cost semantic but a marginal addition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete verb-and-resource ('Heights above sea level in metres for a list of points') and backs it with data sources, so the purpose is unmistakable. It stops short of naming the sibling elevation_profile or explaining how the two differ, which is the main thing an agent must decide between.

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?

It gives indirect routing guidance by disclosing per-region sources (Switzerland/Liechtenstein vs. elsewhere on land vs. sea) and a cost model ('Each point counts as one lookup; account_status shows the plan maximum per call'), which implies when to batch or split calls. There is no explicit when-to-use/when-not statement and no comparison with elevation_profile or geocode.

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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