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Pricing, packs, and delivery

get_pricing_and_delivery

Retail prices per beer (500ml can ₹199 / MRP ₹249, 6-pack ₹1,194 / MRP ₹1,494), delivery cities (Bangalore live; Mumbai, Pune, Hyderabad, Delhi, Ahmedabad, Jaipur next), and the flat delivery fee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description bears full burden. It transparently reveals the specific data returned (prices, delivery cities with live/next status, flat fee). It does not mention side effects or auth needs, but for a read-only data retrieval tool, the description is adequate. Minor gap: no mention of whether data is static or real-time.

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?

Single concise sentence front-loading key information (prices, cities, fee). Every part is essential; no waste.

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 no parameters and no output schema, the description sufficiently conveys the tool's return data. It provides specific examples and city statuses. However, it does not specify the response format (e.g., JSON structure), which might be needed for parsing but is acceptable for a simple tool.

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

Parameters4/5

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

Zero parameters in schema, so baseline is 4. The description implicitly confirms no parameters are needed, and it adds value by listing exact data points. No further parameter explanation required.

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 clearly states specific verb 'get' with resource 'pricing_and_delivery' and provides concrete data examples (prices per can, pack, MRP, delivery cities with status, flat delivery fee). It distinguishes itself from siblings like get_b2b_wholesale or get_beer by focusing on retail pricing and delivery.

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 for retrieving retail pricing and delivery info but does not explicitly state when to use this tool versus alternatives (e.g., wholesale pricing via get_b2b_wholesale). No exclusion criteria or context for when not to use it are provided.

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

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose covering different aspects: beers, brand, process, pricing, nutrition, recipes, subscriptions, wallet, wholesale, buy link, and waitlist. No two tools overlap significantly.

Naming Consistency4/5

Most tools use the 'get_' prefix for information retrieval, with 'list_beers' and 'join_waitlist' as slight deviations. However, the pattern is consistent (verb_noun with underscores) and clear.

Tool Count5/5

13 tools is well-scoped for a brewery server, covering all essential aspects without being overwhelming. Each tool serves a specific need, and none feel superfluous.

Completeness5/5

The tool set covers the full lifecycle: brand info, product details, pricing, ordering, subscriptions, waitlist, wallet, and even recipes and nutrition. No obvious gaps for the stated domain.

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