Aerospace Part Price Trends
aerospace_part_price_trendCompare recorded prices only within same supplier, condition and currency; never infer transaction prices.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| part_number | Yes |
aerospace_part_price_trendCompare recorded prices only within same supplier, condition and currency; never infer transaction prices.
| Name | Required | Description | Default |
|---|---|---|---|
| part_number | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover read-only, idempotent, non-destructive behavior. The description adds deeper context by clarifying that the data are recorded prices, not transaction prices, and that comparisons must respect supplier/condition/currency alignment. This is meaningful behavioral guidance beyond the annotations.
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, tight sentence with no filler. The main action and the most important constraint are front-loaded, and every phrase earns its place.
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?
For a simple one-parameter tool with rich annotations, the description is mostly adequate, but there is no output schema and the description does not state what the tool returns or how results are structured. The price-trend semantics are clear enough for basic selection, but an agent would still lack explicit output expectations.
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 0%, and the description does not explain how the required part_number parameter is used or what is expected beyond the schema's min/max length. Since the description must compensate for low schema coverage but does not, parameter semantics are under-specified.
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 uses a specific verb and resource: 'Compare recorded prices.' It communicates that this tool deals with recorded price comparisons for a part, and the title adds 'Aerospace Part Price Trends.' However, it does not explicitly distinguish itself from related aerospace sibling tools like aerospace_part_observations.
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 gives clear operating constraints: compare only within the same supplier, condition, and currency, and never infer transaction prices. This implies when it is appropriate to use the tool, but it does not explicitly name alternatives or state when-not-to-use conditions relative to sibling tools.
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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