Skip to main content
Glama

Quote a custom tab set price

quote_price
Read-onlyIdempotent

Live price for a custom tab-divider build — per-set and total USD with setup included, plus an orderUrl that opens Tabzoola's configurator with this exact build pre-selected for a human to complete. Same engine as the website's live pricing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
setsYesQuantity of sets (minimum order 25)
optionsNoOptional map of optionKey -> choiceId (see get_pricing_capabilities). Omitted options use defaults.
productYesProduct line
tabsPerSetYesTabs in each set
colorChangesNoPoly only: distinct tab colors minus one

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds meaningful context beyond annotations by explaining the output includes an orderUrl and that setup cost is included, and that it mirrors the website's live pricing engine. No contradictions with annotations.

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 core purpose, and every clause adds useful context. No filler or repetition of schema details.

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 is reasonably complete for a read-only pricing tool: it names expected output fields and the configurator flow. It does not mention that options should be looked up via get_pricing_capabilities, though the schema already references that sibling, so an agent can discover it.

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 100%, so the schema already documents all five parameters. The description adds output-level context (per-set/total pricing, setup included) but does not explain parameter selection or dependencies beyond what the schema provides.

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 identifies the tool's purpose: quoting a live price for a custom tab-divider build, including per-set and total USD. It is distinct from sibling tools by function, but it does not explicitly name or contrast them, so it falls just short of full sibling differentiation.

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 provides clear context for when to use the tool: for live custom-pricing quotes, with an orderUrl for human completion. It implies rather than explicitly states when not to use it or which sibling to choose instead, so it lacks explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool covers a distinct stage of the workflow: get_pricing_capabilities provides configuration discovery, quote_price returns live pricing, and draft_order creates a pre-filled order with titles. While quote_price and draft_order both produce order URLs, their purposes are clearly separated by the descriptions.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: get_pricing_capabilities, quote_price, draft_order. The naming clearly mirrors the intended sequence and makes the tool roles predictable.

Tool Count5/5

Three tools is well-scoped for a narrow pricing/draft-order domain. Each tool has a distinct and necessary function, and there is no bloat or redundancy.

Completeness5/5

The workflow is complete for the stated purpose: discover capabilities, quote a live price, then generate a ready-to-complete draft order. Since human checkout is explicitly out of scope, no additional order-management tools are needed.

Resources