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print_service_quote

Generates a quote for a print service order, specifying pricing and processing options.

Instructions

Confirm a print service order and start processing.

        Args:
            order_id: The order ID from ``create_print_service_order``.
            option: ``"local"``, ``"fulfillment"``, or ``"recommended"``.
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionNorecommended
order_idYes
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It states that the tool confirms and starts processing, which likely mutates state, but offers no details on side effects, irreversibility, permissions, or what 'start processing' entails. This is insufficient for a mutation tool.

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

Conciseness4/5

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

The description is short and front-loaded with the action. It uses a structured Args section. However, the Args section mostly repeats the schema's parameter names, but it adds value by providing source for order_id. Could be more concise without repeating schema.

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

Completeness2/5

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

The description lacks information about return values or confirmation details, especially since no output schema exists. It is part of a workflow with many siblings but does not explain the full context or sequence. Missing return info and workflow steps reduces completeness.

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%, so the description must compensate. It explains order_id comes from create_print_service_order and lists possible option values. This adds meaning, but does not explain what each option does or provide further context. It adds value but is not comprehensive.

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

Purpose4/5

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

The description clearly states the tool confirms a print service order and starts processing. The verb 'confirm' and 'start processing' are specific. However, the tool name 'print_service_quote' suggests a quote, but the description indicates confirmation and processing, causing slight mismatch. Still, the purpose is distinct from siblings like create_print_service_order.

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 implies usage after create_print_service_order by referencing that tool for the order_id. It also lists possible options. However, it does not explicitly state when to use this tool vs alternatives like fulfillment_quote, nor does it provide exclusions or prerequisites beyond having the order.

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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