Цены на бассейн с вариантами серий PREMIUM и PREMIUM NORD
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"model": "<model>"
},
"name": "get_pool_price"
}
}| Name | Required | Description | Default |
|---|---|---|---|
| model | Yes | Модель: laguna2..laguna9 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral aspects such as read-only nature, response format, or side effects. The description is merely a noun phrase and provides zero behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with no filler, which is good. However, it is a fragment rather than a complete sentence, slightly reducing structural clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description is too sparse. It doesn't indicate return format, whether multiple prices are returned, or any prerequisites, making it incomplete for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents the single parameter 'model' with 100% coverage (laguna2..laguna9). The description adds context about series options but does not explain how they map to the parameter, so it adds only marginal value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates the tool provides pool prices, and adds specificity about PREMIUM and PREMIUM NORD series options. However, it is a noun phrase rather than a full sentence with an explicit verb, and it doesn't explicitly contrast with sibling tools like get_pool_specs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description simply states what the tool returns.
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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