get_premium
查询指定产品在特定年龄/性别下的精确保费数据。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| age | Yes | 年龄 | |
| gender | No | ||
| product_id | Yes | 产品ID |
查询指定产品在特定年龄/性别下的精确保费数据。
| Name | Required | Description | Default |
|---|---|---|---|
| age | Yes | 年龄 | |
| gender | No | ||
| product_id | Yes | 产品ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the full burden. It indicates it queries premium data but does not disclose whether data is cached, how often updated, or any potential side effects. It is a read operation but not explicitly stated.
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?
One sentence that effectively conveys the tool's purpose. No wasted words.
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?
Given the tool's simplicity (3 parameters, no output schema), the description is adequate. It covers the essential query functionality, though it could include more details about output.
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?
Schema coverage is 67% (age and product_id have descriptions). The description adds that age and gender are used for premium calculation, providing meaning beyond the schema for the gender parameter.
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 states it queries accurate premium data for a specified product at a specific age/gender. It distinguishes from sibling tools like get_product_detail or compare_products.
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?
The description implies usage for obtaining premium data but does not provide explicit guidance on when to use versus alternatives or when not to use it.
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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