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List products

list_products
Read-only

List products in the Upmind platform, filtering by brand, category, or exact name. Control output with pagination settings.

Instructions

List products, filterable by brand, category, or exact name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFilter by exact product name
limitNoResults per page (default 20)
offsetNoPagination offset (default 0)
brand_idNoBrand UUID
category_idNoCategory UUID
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds minimal behavioral context beyond the schema—it mentions filters but does not describe pagination or return format. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded, no redundant words. It efficiently states the purpose and key filters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with 5 optional parameters fully described in the schema, the description is sufficient. 'List products' clearly implies returning a product collection, and pagination is documented in the schema. No output schema exists, but return type is self-evident.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema descriptions cover 100% of parameters with clear meanings (name, limit, offset, brand_id, category_id). The description restates the filter options (brand, category, exact name) but adds no additional semantics beyond the schema. Baseline 3 due to high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'List' and resource 'products', clearly distinguishing from sibling tools like get_product or create_product. It also notes key filter dimensions (brand, category, exact name), which helps clarify the scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not mention when to use this tool over alternatives such as get_product for a single product, nor does it state any exclusions. The usage context is implied by the name and description, but no explicit guidance is given.

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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