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gura105

Operational Ontology

get_product

Retrieve a product's full record by its unique id, enabling direct lookup for a specific item.

Instructions

Fetch a single Product by primary key (id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates a read operation through 'Fetch' but gives no details on error behavior (e.g., missing id), return structure, or whether the product exists. This is minimal behavioral transparency.

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?

The description is a single, front-loaded sentence that directly communicates the tool's purpose without any filler. Every word contributes to understanding what the tool does.

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

Completeness3/5

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

For a simple get-by-id tool with one parameter and no output schema, the description covers the core function adequately. However, without annotations or output schema, it leaves the return shape and not-found behavior unspecified, making it minimally complete but not fully self-sufficient.

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 description coverage is 0%, but the description adds the semantic meaning that 'id' is the primary key, which is not present in the schema's raw type definition. It does not provide formats, examples, or related lookup guidance, so it only partially compensates for the schema's lack of descriptive detail.

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 'Fetch' and clearly identifies the resource ('a single Product') and the lookup mechanism ('by primary key (id)'). This distinguishes it from sibling tools like search_product (searching) and aggregate_product (aggregation), as well as from get_order/get_customer/get_note by naming the resource.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention search_product for filtered lookups or clarify that this tool requires a known primary key. Usage context is only implied by the wording, not explicitly stated.

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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