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Aare.guru MCP Server

by baking-bread

get_historical_data

Retrieve historical time series data for water temperature, flow rate, and air temperature for a specific city and date range.

Instructions

Get historical time series data for water temperature, flow, and air temperature

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNoOptional app identifieraareguru-mcp-server
endYesEnd date/time in various formats (ISO, timestamp, 'now')
cityYesCity identifier (required for historical data)
startYesStart date/time in various formats (ISO, timestamp, 'yesterday', '-1 day')
valuesNoOptional comma-separated list of specific values to extract
versionNoOptional version number1.0.0
Behavior2/5

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

No annotations are provided, and the description only states the data types but does not disclose behavioral traits such as data freshness, rate limits, or error handling.

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?

The description is a single concise sentence, but it could be slightly more informative without increasing length.

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?

The given complexity (6 parameters, no output schema) is not addressed; the description fails to explain what the returned time series data looks like, leaving the agent uninformed about the structure.

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 each parameter. The description adds little beyond naming the data types, which may relate to the 'values' parameter but is not explicit.

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 clearly identifies the tool as retrieving historical time series data for specific environmental metrics (water temperature, flow, air temperature), distinguishing it from sibling tools like get_current_conditions.

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 description implies historical data retrieval but does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites.

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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