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get_whatsapp_handoff

Generate a pre-filled WhatsApp deep link to hand the customer off to the right contact. Garden Route locations (Knysna, Plett, George, Sedgefield, etc.) route to Duncan Kane (+27795235407) for free in-home consultation; all other South African locations route to the online shop line (+27760228410). Use when the customer prefers human assistance or when self-serve checkout isn't appropriate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoOptional additional message to prefill
locationNoCity/suburb. Drives Duncan vs shop routing.
customer_nameNo
product_contextNoe.g. 'roller blockout for bedroom'

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the transparency burden. It fully discloses the routing logic including location-based phone numbers, which is the core behavioral trait. However, it doesn't clarify the return format (e.g., a URL string) or that no message is actually sent, which would be useful additional context.

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?

Two sentences, front-loaded with the action and outcome. Every sentence adds value: the first defines the tool, the second provides routing details and usage guidance. No wasted words.

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?

Given the tool's moderate complexity (routing logic) and lack of output schema, the description covers the essential business rules well. However, it omits the return value structure (e.g., deep link URL) and the fact that all parameters are optional, leaving minor gaps for agent decision-making.

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 coverage is 75%, so baseline is 3. The description reinforces the location parameter's routing impact, but the schema already covers this. It adds no extra meaning for message, customer_name, or product_context beyond schema descriptions, so it doesn't exceed the baseline.

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 a specific verb ('Generate') and resource ('pre-filled WhatsApp deep link'), clearly stating the tool's function. It distinguishes itself from siblings like checkout or enquiry tools by focusing on WhatsApp handoff, which is absent in all sibling tools.

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

Usage Guidelines4/5

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

Explicitly states when to use: 'when the customer prefers human assistance or when self-serve checkout isn't appropriate'. This gives clear context, though it doesn't name alternative tools or specify when not to use, which would make it a 5.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but the presence of three search tools (search_catalog, search_products, lookup_catalog) and legacy tools (create_order, submit_enquiry) creates minor overlap. Descriptions help differentiate, but an agent might initially confuse them.

Naming Consistency5/5

All 26 tool names follow a consistent verb_noun snake_case pattern (e.g., cancel_cart, configure_product). No mixed cases or irregular verbs are present.

Tool Count4/5

26 tools is slightly high for a blind shop, but the domain requires many operations (search, pricing, cart, checkout, recommendations, etc.). Some legacy tools could be removed, but the count is still reasonable.

Completeness5/5

The tool surface covers the full customer journey from product discovery (search, recommendations) to purchase (cart, checkout, payment) and post-purchase (orders, swatches, price match, delivery estimates). No obvious gaps for the stated purpose.

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