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dwain-barnes

Environment Agency Flood Monitoring MCP Server

by dwain-barnes

get_monitoring_stations

Find UK flood monitoring stations by location, river, or measurement type to access water level, flow, and environmental data.

Instructions

Get monitoring stations that measure water levels, flows, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parameter_nameNoParameter name (e.g., 'Water Level', 'Flow', 'Temperature')
parameterNoShort parameter name (e.g., 'level', 'flow', 'temperature')
qualifierNoQualifier (e.g., 'Stage', 'Downstream Stage', 'Groundwater', 'Tidal Level')
townNoFilter by town name
catchment_nameNoFilter by catchment name
river_nameNoFilter by river name
searchNoSearch text in station labels
latNoLatitude for geographic filter (WGS84)
longNoLongitude for geographic filter (WGS84)
distNoDistance in km for geographic filter
typeNoStation type
statusNoStation status
viewNoSet to 'full' for detailed information including scale data
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 full burden. It only states what the tool retrieves without disclosing behavioral traits like pagination behavior (implied by 'limit' and 'offset' parameters but not explained), rate limits, authentication needs, or whether it's a read-only operation. The description is minimal and lacks critical operational context.

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 wasted words. It's front-loaded with the core purpose and uses examples ('water levels, flows, etc.') to clarify scope 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 the complexity (15 parameters, no output schema, no annotations), the description is inadequate. It doesn't explain the tool's behavior, output format, or how to interpret results (e.g., what 'full' view entails). For a tool with many filtering options and no structured output documentation, more context is needed to guide effective use.

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 15 parameters. The description adds no parameter-specific information beyond the general mention of 'water levels, flows, etc.', which loosely relates to 'parameter_name' but doesn't enhance understanding. 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 verb ('Get') and resource ('monitoring stations') with specific examples of what they measure ('water levels, flows, etc.'). However, it doesn't explicitly differentiate this tool from its siblings like 'get_monitoring_station' (singular) or 'get_station_measures', leaving some ambiguity about scope.

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 siblings like 'get_monitoring_station' (likely for a single station) and 'get_station_measures' (likely for station-specific measurements), there's no indication of how this tool differs in context or filtering capabilities.

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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