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wylieswanson

nws-weather-usgs-water-mcp

by wylieswanson

get_water_quality_samples

Read-onlyIdempotent

Retrieve discrete water-quality samples from USGS for specified monitoring locations, dates, and characteristics. Access modern USGS Samples API data directly.

Instructions

Get discrete water-quality samples from the modern USGS Samples API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileNonarrow
end_dateNo
max_rowsNo
start_dateNo
characteristicNo
parameter_codeNo
monitoring_location_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint. The description adds 'discrete' and 'modern USGS Samples API', which provides some API context but no additional behavioral traits like pagination or rate limits. No contradiction with annotations.

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, concise sentence that efficiently conveys the tool's purpose. It is front-loaded with the key verb and resource, with no extraneous words.

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?

Despite rich annotations and an output schema, the description fails to provide necessary context for the 7 parameters (0% schema coverage). It does not explain how to use parameters like start_date/end_date or the difference between characteristic and parameter_code, making it inadequate for correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, meaning no parameter descriptions are provided. The tool description does not explain any parameter (e.g., profile, characteristic, parameter_code) nor their relationships. This leaves the agent without essential guidance for correct invocation.

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 states the verb 'Get' and the resource 'discrete water-quality samples', and specifies the source 'modern USGS Samples API'. This distinguishes it from sibling tools like get_current_flow or get_observations, which are for continuous or different 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?

No guidance is provided on when to use this tool versus alternatives such as get_observations or search_time_series. There are no mentions of prerequisites, limitations, or preferred contexts.

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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