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dwain-barnes

Environment Agency Flood Monitoring MCP Server

by dwain-barnes

get_monitoring_station

Retrieve detailed information about a specific UK flood monitoring station, including water levels, flow rates, and station metadata, to support flood risk assessment and environmental monitoring.

Instructions

Get detailed information about a specific monitoring station

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
station_idYesStation ID (e.g., '1491TH')
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 the tool retrieves 'detailed information' but doesn't specify what that includes (e.g., station metadata, status, location), whether it's a read-only operation, potential errors (e.g., invalid station_id), or performance aspects. This leaves significant gaps in understanding the tool's behavior.

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, clear sentence with zero wasted words. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration, making it highly efficient.

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 of a data retrieval tool with no annotations and no output schema, the description is incomplete. It doesn't explain what 'detailed information' entails, how results are structured, or handle edge cases, leaving the agent with insufficient context to use the tool effectively beyond basic parameter input.

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, with 'station_id' documented as 'Station ID (e.g., '1491TH')'. The description adds no additional parameter semantics beyond this, so it meets the baseline of 3 where the schema does the heavy lifting without compensating for any gaps.

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 ('detailed information about a specific monitoring station'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_monitoring_stations' (plural) or 'get_station_readings', which might retrieve similar or related data.

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_stations' (likely for listing stations) and 'get_station_readings' (likely for readings data), there's no indication of context, prerequisites, or exclusions for selecting this specific tool.

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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