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GRABOSM

OpenStreetMap MCP Server

by GRABOSM

map_match_gps

Align GPS coordinate traces with OpenStreetMap road networks to correct positioning errors and create accurate route paths for driving, walking, or cycling.

Instructions

Map-match GPS traces to road network

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coordinatesYesArray of [longitude, latitude] GPS coordinates
profileNoRouting profile (default: driving)
timestampsNoUnix timestamps for each coordinate
radiusesNoSearch radius for each coordinate (meters)
stepsNoInclude turn-by-turn instructions
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't explain what 'map-match' entails (e.g., algorithm used, accuracy, or output format), nor does it cover performance aspects like rate limits, authentication needs, or error handling, which are critical for a GPS processing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste, front-loading the core purpose. It's appropriately sized for the tool's complexity, making it easy to parse without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of GPS data processing and lack of annotations or output schema, the description is incomplete. It doesn't explain the output (e.g., matched coordinates, confidence scores) or behavioral traits like error conditions, leaving gaps that could hinder an agent's ability to use the tool effectively.

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 schema fully documents all parameters. The description adds no additional meaning beyond the schema, such as explaining how parameters interact (e.g., timestamps for speed inference) or default behaviors. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the action ('map-match') and resource ('GPS traces to road network'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'snap_to_roads' or 'get_osrm_route', which may have overlapping functionality for road network alignment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as 'snap_to_roads' or 'get_osrm_route'. The description lacks context on prerequisites, typical use cases, or exclusions, leaving the agent to infer usage from the tool name alone.

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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