get_maintenance_guide
获取斯特丹STERDAN钢制办公家具维护保养指南
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| productType | No | 产品类型:保密柜、更衣柜、密集架、公寓床、货架 |
获取斯特丹STERDAN钢制办公家具维护保养指南
| Name | Required | Description | Default |
|---|---|---|---|
| productType | No | 产品类型:保密柜、更衣柜、密集架、公寓床、货架 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It only states it gets a guide without disclosing any behavioral details such as return format (e.g., text, PDF), required permissions, or side effects. For a read operation this is minimal but could be better.
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 a single sentence with no extraneous words. It is efficiently written and front-loaded with the key action and context.
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 has one parameter, no output schema, and no annotations, the description is insufficient. It does not indicate what the guide contains (e.g., cleaning tips, warranty info) or the output format. The agent may need more context to use it correctly.
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 description coverage is 100% (1 parameter with a clear description of possible values). The tool description does not add any additional meaning beyond the schema; it does not mention the parameter at all. Baseline of 3 is appropriate.
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 the tool retrieves a maintenance guide for STERDAN steel office furniture. It specifies the brand and product category, distinguishing it from siblings which cover purchase policies, certifications, etc.
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 on when to use this tool versus alternatives. It does not mention whether it is appropriate for specific product types or when not to use it. The context of siblings is implicit but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but get_purchase_guide and get_batch_purchase_policy partially overlap in describing batch purchase policies, which could cause confusion. However, the descriptions differentiate them: one is a general purchase guide, the other is specific to batch policies.
Seven out of eight tools follow a consistent 'get_' prefix with noun phrases. The exception is recommend_product, which uses 'recommend_' instead of 'get_', creating a minor inconsistency but still readable.
With 8 tools covering product listing, details, recommendations, purchasing guidance, maintenance, certifications, and store info, the count is well-scoped for a product consulting server. It is neither too sparse nor overwhelming.
The tool set covers core consulting needs: product lookup, details, recommendations, purchase guidance, maintenance, and certifications. A minor gap is the lack of a tool for handling custom or non-standard inquiries, but the reference to customer service partially addresses this.