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Pricing, packs, and delivery

get_pricing_and_delivery

Launch prices per beer (250ml can ₹119 against a ₹139 MRP, 500ml can ₹229 against ₹279, 6-pack of 500ml cans ₹1,374 against ₹1,674), delivery cities (Bangalore live; Mumbai, Pune, Hyderabad, Delhi, Ahmedabad, Jaipur next), and the flat delivery fee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full behavioral burden. It describes the returned content but does not explicitly state that it is a read-only lookup, has no side effects, or that the data is static. The 'get_' prefix and content imply safety, but explicit disclosure is absent.

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 a single dense sentence containing all key facts, but it is efficient and front-loaded with the most important pricing data. It could be structured with bullets for readability, but it avoids waste and stays within a reasonable length.

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

Completeness5/5

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

With no output schema and no parameters, the description fully explains what the tool returns: prices, delivery cities, and the delivery fee. Nothing an agent needs to call or interpret the result is missing.

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?

The tool has zero parameters, so the schema is trivially 100% covered. The description adds no parameter details because none exist, which is appropriate. Baseline of 4 applies.

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 states exactly what the tool returns: specific launch prices for beer packs, delivery cities, and the flat delivery fee. It clearly distinguishes itself from siblings like get_beer or get_buy_link by covering pricing and logistics details.

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?

The description clearly implies when to use it (whenever pricing or delivery info is needed) but does not explicitly name alternatives or exclusions. Since no sibling tool covers the same scope, the implied context is sufficient.

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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