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weather_get_pricing_model

Get the active pricing model for this operator. Free.

If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

The description discloses a key behavioral trait: 'If no model exists, self-initializes a scaffold with all registered tools at 0 sats.' This reveals a side effect that goes beyond a simple read. It also states 'No economic data from code,' clarifying a limitation. However, it does not mention authorization requirements or whether the initialization is idempotent. Since there are no annotations, the description carries full burden and does a good job overall.

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 extremely concise—two short sentences that front-load the main purpose and immediately provide critical behavioral context. Every sentence adds value; there is no wasted text.

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

Completeness4/5

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

Given the tool has no parameters and an output schema exists, the description provides sufficient context, including the self-initialization behavior. However, it could mention that this is a read operation with a potential write side effect more explicitly. Overall, it is fairly complete.

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, and the input schema covers 100% of parameters (none). The description adds no parameter info, which is acceptable as there are none to document. Per the guidelines, 0 parameters yields a baseline of 4.

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 'Get the active pricing model for this operator,' specifying the verb and resource. It also notes that the tool is free. However, it does not explicitly distinguish itself from sibling tools like weather_set_pricing_model or weather_reset_pricing_model, though the name and action make the distinction obvious.

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. It does not mention when to prefer this over weather_set_pricing_model or when not to use it. The context of usage is implied but not explicit.

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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