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Get Store Info

get_store_info
Read-onlyIdempotent

Get Bolot Studio brand information, shipping zones, payment methods, and configurator URLs. Essential context for helping customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoLocale code used when country is not supplied
countryNoISO 3166-1 alpha-2 or alpha-3 country code for market-visible catalog sizes/prices (e.g. 'DE', 'DEU')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
b2bNo
brandNo
errorNo
marketNo
messageNo
productsNo
policy_urlsNo
finish_guideNo
free_shippingNo
sustainabilityNo
payment_methodsNo
_response_budgetNo
active_promotionsNo
configurator_urlsNo
quality_assuranceNo
agent_instructionsNo
shipping_by_countryNo
wall_art_launch_gateNo
address_sign_launch_gateNo

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description does not need to restate safety. It adds value by enumerating the exact content categories returned (brand info, shipping zones, payment methods, configurator URLs), which goes beyond the tool name. No contradictions.

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 two concise sentences, front-loaded with the key value and free of fluff. 'Essential context for helping customers' is brief and meaningful, though slightly vague.

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 output schema exists and annotations cover safety, the description sufficiently lists the data categories covered. It is complete enough for an agent to know what to expect, though it could slightly benefit from noting locale/country influence on returned data (already captured in schema).

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?

The schema provides full descriptions for both parameters (locale and country), including examples and semantics. The description does not add parameter-level detail, but the schema's 100% coverage makes this acceptable 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 clearly states the tool retrieves Bolot Studio brand information, shipping zones, payment methods, and configurator URLs, using a specific verb ('Get') and resource scope. This distinguishes it from sibling tools like search_policies_and_faqs or get_product_recommendations, which focus on other domains.

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 a general context—'Essential context for helping customers'—implying when to use the tool, but it does not explicitly state when to use it over alternatives or any exclusion criteria. Sibling tools are not named or contrasted.

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

A3.9/5.0
Disambiguation3/5

Most tools hdistinct purposes, but search_products/search_products_task and check_photo_compatibility/check_photo_compatibility_task are direct-versus-task duplications of the same functionality. The descriptions note that one is task-based, so agents can tell them apart, but the overlap could still cause miselection.

Naming Consistency5/5

All tools use a consistent snake_case verb_phnoun pattern (get_, search_, check_, compare_, start_); task variants follow the same naming convention with a clear `_task` suffix. The convention is predictable and uniform.

Tool Count4/5

11 tools is within a reasonable range for a store assistant, and the scope covers discovery, comparison, recommendations, shipping, policies, and configuration. The two direct/task variant pairs add slight redundancy, making it feel a bit heavier than needed.

Completeness4/5

The tool surface covers core storefront workflows: product discovery/details, comparisons, recommendations, reviews, shipping, policies, photo compatibility, and configuration links. Snissing cart, checkout, or order-status tools feels acceptable if the server is scoped as a pre-purchase assistant, though those would be natural complements.

Resources