sparkfun_product
Get a public SparkFun product by SKU.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | The tool result payload (shape varies per tool; see each tool's docs resource). |
Get a public SparkFun product by SKU.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | The tool result payload (shape varies per tool; see each tool's docs resource). |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and scope are covered. The description adds the useful qualifier 'public' (only publicly listed products are retrievable), but says nothing about rate limits, authentication, or what happens for an unknown SKU.
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?
A single front-loaded sentence with no filler; the resource and the key are stated immediately.
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 an output schema present, return values need no explanation, and annotations carry the safety profile, so the description is nearly sufficient for a one-parameter lookup. The only real omission is how an agent should go about acquiring a valid SKU.
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%, so the single 'sku' parameter is documented only as a bare string in the schema. The description supplies the essential semantic that this parameter is a SparkFun SKU (not a name or internal ID), which is meaningful, but adds no format, casing, or example guidance.
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?
States a specific verb (Get), resource (SparkFun product), and the lookup key (SKU), so an agent knows exactly what one call returns. It does not explicitly name or contrast with the sibling tools sparkfun_search / sparkfun_category / sparkfun_categories, leaving differentiation to inference from the tool name.
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 phrase 'by SKU' implies the caller must already hold a SKU, but the description never says where to obtain one or when to prefer this over sparkfun_search. There are no exclusions, prerequisites, or named alternatives.
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.