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GRABOSM

OpenStreetMap MCP Server

by GRABOSM

execute_overpass_query

Run custom Overpass QL queries to retrieve OpenStreetMap data for geospatial analysis, location searches, and map quality checks.

Instructions

Execute a custom Overpass QL query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesOverpass QL query string
timeoutNoQuery timeout in seconds (default: 25)
maxsizeNoMaximum response size in bytes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions executing a query but doesn't disclose behavioral traits like rate limits, authentication needs, error handling, or response format. This is inadequate for a tool that likely interacts with external APIs.

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. It's front-loaded and appropriately sized, 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 no annotations, no output schema, and a tool that executes custom queries (potentially complex with external dependencies), the description is incomplete. It should cover more behavioral aspects, response expectations, or error cases to be fully helpful.

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 parameters are well-documented in the schema. The description adds no additional meaning beyond implying a custom query, which is already clear from the schema. 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 ('Execute') and resource ('custom Overpass QL query'), making the tool's purpose evident. However, it doesn't differentiate from siblings like 'search_by_tags' or 'get_elements_in_bounds' that might also query Overpass data, missing specific distinction.

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. With many sibling tools for querying OSM data (e.g., 'search_by_tags', 'get_elements_in_bounds'), the description lacks context on use cases, prerequisites, or exclusions, leaving the agent without direction.

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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