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quote_water_stress_analysis

Request a FREE commercial quote for: Water Stress Analysis. Water stress and scarcity analysis for regions Returns a binding USD price and quote_id (valid 15 min); no execution yet and no credits consumed. Use execute_quote with the quote_id to run it — execution consumes prepaid credits. Requires an API key (X-API-Key or Authorization: Bearer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses key behaviors: 'no execution yet and no credits consumed', the binding USD price and quote_id validity of 15 minutes, the need to use execute_quote, and the API key requirement. It does not mention rate limits or error handling, but for a quote tool this coverage is strong.

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 concise and front-loaded, opening with the purpose and then covering the response, next step, and authentication. Every sentence contributes value, with no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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

The description covers the return value (price and quote_id), validity, the next step (execute_quote), and authentication, which is helpful given no output schema. However, it mentions 'for regions' without explaining how a region is specified or whether any input is needed, since the schema is empty but allows additional properties. This ambiguity leaves an agent unsure about what to provide.

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

Parameters4/5

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

The tool has zero parameters, so the description does not need to explain parameter semantics. The baseline for 0-param tools is 4; the description adds no parameter info but also does not need to.

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 action ('Request a FREE commercial quote') and the specific resource ('Water Stress Analysis'), with a brief scope note ('Water stress and scarcity analysis for regions'). It is distinct from the many sibling quote_* tools because it names the analysis type explicitly.

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 when to use it (when a quote for water stress analysis is needed) and directs the user to execute_quote as the follow-up, but it does not contrast with alternatives like quote_water_scarcity_forecast or state exclusions. The guidance is sufficient for a simple quote request but lacks explicit differentiation.

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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