Walmart product
run_walmart_productGet full Walmart product details by item ID: brand, price, rating, and specifications. Flat 5 points per successful run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| item | Yes | Item ID or URL. e.g. 15290971475 |
run_walmart_productGet full Walmart product details by item ID: brand, price, rating, and specifications. Flat 5 points per successful run.
| Name | Required | Description | Default |
|---|---|---|---|
| item | Yes | Item ID or URL. e.g. 15290971475 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds one genuinely new behavioral fact — the flat 5-point cost per successful run — but says nothing about rate limits, missing-item behavior, or data freshness.
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?
Two short sentences, both earning their place: the first defines the operation and its inputs/outputs, the second discloses cost up front. Nothing is padded and the key scoping fact ('by item ID') leads the sentence.
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 one required parameter, no output schema, and full schema coverage, the description does the right extra work by naming the returned fields (brand, price, rating, specifications). It could say more about failure/empty results, but for a simple read-only lookup it is essentially complete.
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 'item' parameter is documented there (including URL support and an example), so the baseline applies. The description narrows it to 'item ID', slightly underselling the schema's accepted URL form, but adds no syntax detail of its own.
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 ('Walmart product details'), scope ('full'), and the lookup key ('by item ID'), plus enumerates the returned fields. This naturally separates it from run_walmart_product_search and run_walmart_product_reviews, though it never names those siblings explicitly.
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 implied rather than stated: 'by item ID' signals that the caller must already have an identifier, which contrasts with the search sibling, but there is no explicit when-to-use/when-not or naming of alternatives. An agent can infer intent but gets no routing guidance.
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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