fakestore_product
Retrieve a single fake product by its ID (1–20) to support product detail testing and data workflows.
Instructions
Get a single fake product by ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Product ID (1-20). |
Retrieve a single fake product by its ID (1–20) to support product detail testing and data workflows.
Get a single fake product by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Product ID (1-20). |
Changes observed during successful MCP inspections.
v0.1.11Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: it doesn't say what happens for an out-of-range or nonexistent ID, whether the result is cached, or what the response contains. 'Get' implies a safe read, but that is inference rather than disclosure.
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 short sentence with the verb and resource front-loaded and zero filler. Nothing is wasted and nothing is buried.
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 trivial single-item lookup this is minimally adequate, but with no output schema and no annotations the description could reasonably describe the shape of the returned product or the failure behavior for an invalid ID. It leaves those gaps unfilled.
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% and the single parameter's valid range (1-20) is already documented in the schema. The description adds no syntax, format, or constraint information beyond what the schema provides, so the baseline of 3 applies.
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') and resource ('a single fake product by ID'), so the operation is unambiguous. It does not name or contrast with the obvious sibling fakestore_products (the collection variant), so sibling differentiation is left to inference from the word 'single'.
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?
Usage is only implied: the phrase 'by ID' signals a lookup-style call rather than a browse/search. There is no explicit guidance on when to use this versus fakestore_products or the many other product tools (dummyjson_products, amazon_product), and no preconditions stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.