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SarthakRay26

Open Meteo MCP Server

by SarthakRay26

search_locations

Find geographic coordinates by searching for location names to enable precise environmental data analysis and weather forecasting.

Instructions

Search for locations by name and get their coordinates

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesLocation name to search for
countNoMaximum number of results (1-100, default: 10)
languageNoLanguage for the results (default: en)en
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the action ('search') and outcome ('get coordinates'), but lacks details on permissions, rate limits, error handling, or response format. For a tool with no annotation coverage, this is insufficient to inform safe usage.

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 that states the tool's purpose without redundancy. It's front-loaded and wastes no words, making it easy for an agent to parse quickly.

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

Completeness3/5

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

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks behavioral details and usage context. Without an output schema, it doesn't explain return values, leaving gaps in completeness.

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 (name, count, language). The description adds no additional parameter semantics beyond what's in the schema, such as examples or search behavior nuances. Baseline 3 is appropriate when the schema handles documentation.

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 tool's purpose: 'Search for locations by name and get their coordinates.' It specifies the verb ('search'), resource ('locations'), and outcome ('get their coordinates'). However, it doesn't explicitly differentiate from sibling tools like 'get_current_weather' or 'get_air_quality', which focus on weather data rather than location search.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools or suggest scenarios where location search is appropriate (e.g., before fetching weather data). Without such context, an agent might struggle to choose between this and other tools.

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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