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estimate_timeline

Estimate order-to-delivery timeline with stage-by-stage breakdown for 3D printing projects. Provide technology, quantity, and country to get estimated days per stage.

Instructions

Estimate order-to-delivery timeline with per-stage breakdown.

        Args:
            technology: Manufacturing technology (FDM, SLA, SLS, MJF, DMLS).
            shipping_days: Known shipping days from a quote (optional).
            quantity: Number of copies (larger quantities add production time).
            country: Destination country code for shipping estimate fallback.

        Returns a stage-by-stage timeline (order confirmation, production,
        quality check, packaging, shipping) with estimated days per stage
        and a total delivery date.
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoUS
quantityNo
technologyYes
shipping_daysNo
Behavior3/5

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

No annotations are provided, and the description does not disclose behavioral traits such as authentication requirements, rate limits, or side effects. It implies a safe read operation by estimating a timeline, but without explicit statements, the agent has limited behavioral insight. The description itself is straightforward and does not contradict any annotations (none present).

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 concise (few sentences), front-loads the purpose, then lists parameters with explanations, and ends with return structure. No redundant or vague statements; every sentence adds value.

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

Completeness4/5

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

The description covers the input parameters and return value (stage-by-stage timeline with estimated days). It does not address error handling or prerequisites (e.g., requiring a quote for shipping_days). However, given the tool's simplicity and lack of output schema, it provides sufficient context for most use cases.

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

Parameters5/5

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

Despite 0% schema description coverage, the tool description fully documents each parameter's meaning (e.g., technology lists enum values, shipping_days optional, quantity adds production time, country for fallback). This adds significant value beyond the bare schema, enabling correct parameter usage.

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 'Estimate order-to-delivery timeline with per-stage breakdown.' It specifies the verb and resource, but does not explicitly distinguish from sibling tools like estimate_print_time or estimate_cost. While the focus on order-to-delivery with stages is unique, it could be more explicit about its differentiation.

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 provides context for parameters (technology, shipping_days, quantity, country) but does not explicitly state when to use this tool versus alternatives like estimate_print_time. It lacks when-not conditions or specific prerequisites, leaving the agent to infer usage from parameter descriptions.

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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