get_product
Get the current price, availability and full description of one ProfitShop product by its product_id (from search_products, e.g. K382-19120).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| product_id | Yes | e.g. K382-19120 |
Get the current price, availability and full description of one ProfitShop product by its product_id (from search_products, e.g. K382-19120).
| Name | Required | Description | Default |
|---|---|---|---|
| product_id | Yes | e.g. K382-19120 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations supplied, the description carries the full behavioral burden. It discloses that the data returned is current pricing/availability plus the full description, implying a read-only lookup, but says nothing about failure behavior for invalid ids, currency/locale of prices, or rate limits.
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 the verb, resource, returned fields, and id provenance all in place; every clause earns its spot and nothing is padded.
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 one-parameter read tool with no output schema, the description covers the key gaps: what is returned and where the identifier comes from. Only edge-case behavior (unknown id, availability semantics) is left unaddressed, which is minor at this complexity.
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 100% and the schema already gives the example format, so the baseline applies. The description still adds genuine meaning by naming search_products as the source of valid product_id values, provenance the schema does not convey.
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 and resource ("Get ... one ProfitShop product") and enumerates the returned fields (price, availability, full description), which distinguishes it from the sibling search_products that returns lists rather than a single full record.
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 parenthetical "(from search_products, e.g. K382-19120)" makes the intended workflow explicit: use search_products to obtain an id, then call this tool. It stops short of stating exclusions, such as what to do for bulk lookups or when the id is unknown.
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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