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dwain-barnes

Environment Agency Flood Monitoring MCP Server

by dwain-barnes

get_station_readings

Retrieve water level and flow data from UK flood monitoring stations. Filter by date, get latest readings, or access historical measurements for flood risk assessment.

Instructions

Get all readings from a specific monitoring station

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
station_idYesStation ID
latestNoGet only the most recent readings
todayNoGet all readings from today
dateNoGet readings from specific date (YYYY-MM-DD)
startdateNoStart date for date range (YYYY-MM-DD)
enddateNoEnd date for date range (YYYY-MM-DD)
sinceNoGet readings since specific datetime (ISO format)
viewNoSet to 'full' for detailed information
sortedNoSort by date (descending)
limitNoMaximum number of results
offsetNoOffset for pagination
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 states what the tool does but lacks critical behavioral details such as whether this is a read-only operation, potential rate limits, authentication requirements, error handling, or what the output format looks like (especially since there's no output schema).

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 directly states the tool's purpose without any fluff. It's appropriately sized and front-loaded, 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.

Completeness2/5

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

Given the complexity (11 parameters, no annotations, no output schema), the description is insufficient. It doesn't address behavioral aspects, output expectations, or usage context, leaving significant gaps for an agent to understand how to invoke and interpret results 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?

The input schema has 100% description coverage, so the schema already documents all 11 parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain parameter interactions or default behaviors), meeting the baseline for high schema coverage.

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 verb ('Get') and resource ('all readings from a specific monitoring station'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'get_readings' or 'get_measure_readings', which appear to serve similar functions, so it lacks sibling 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?

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_readings' and 'get_measure_readings' available, there's no indication of context, prerequisites, or exclusions to help an agent choose appropriately.

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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