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Bhupendrajee07

MapmyIndia Mappls MCP Server

Mappls Snap To Road

mappls_snap_to_road

Snap raw GPS coordinate traces to the nearest road segments to reduce GPS noise and align tracks to the road network.

Instructions

Snap raw GPS coordinates trace to the nearest road network segments to smooth GPS noise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileNoTransport mode profile ("driving", "biking", "trucking").driving
coordinatesYesList of GPS coordinate strings ["lng1,lat1", "lng2,lat2", ...].

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of explaining behavior. It does state the transformation ('snap to nearest road segments') and the purpose ('smooth GPS noise'), but it does not disclose limitations, edge cases, or behavior differences across transport profiles.

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?

A single sentence that front-loads the core operation and purpose with no redundant wording. Every part contributes meaningful information.

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 straightforward tool with a fully described schema and an output schema available, the description and schema together provide enough context to invoke the tool correctly. It could be slightly richer, but nothing critical is missing.

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 already documents both parameters and their formats. The description adds no additional parameter semantics, making the baseline 3 appropriate.

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 uses a specific verb ('Snap') and names both the input resource ('raw GPS coordinates trace') and the target ('nearest road network segments'). This clearly differentiates it from the geocoding, directions, and search sibling tools.

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 intended use is implied through the description: apply it when you have a noisy raw GPS trace that needs road-network snapping. However, it does not explicitly state when not to use it or mention any alternative tool.

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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