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Search Policies and FAQs

search_policies_and_faqs
Read-onlyIdempotent

Search Bolot Studio FAQs and store policies. Covers product questions, sizing, finishes, shipping, returns, and ordering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g. 'returns', 'shipping to Germany', 'matte vs glossy', 'desk stand')
localeNoLocale code for localized policy URLs (e.g. 'en', 'pl', 'de')
countryNoISO 3166-1 alpha-2 or alpha-3 country code for locale-aware policy URLs (e.g. 'PL', 'DE', 'GB', 'DEU', 'GBR')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
faqsNo
errorNo
localeNo
messageNo
policy_linksNo
total_matchesNo
locale_fallbackNo
_response_budgetNo
returned_matchesNo
shipping_by_countryNo

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=true, so the safety profile is clear. The description adds no extra behavioral context like pagination, authentication, or locale-specific behavior, but it does not contradict 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?

The description is a single, front-loaded sentence that directly states purpose and key coverage topics. No filler words or redundant details.

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?

Given the low complexity of a search tool, the presence of an output schema, and strong annotations, the description sufficiently captures the tool's purpose and scope. It clearly defines what is searched and which topics are covered, with no missing critical context.

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%, with each parameter (query, locale, country) already described with examples. The description does not add additional parameter semantics beyond the schema's own descriptions.

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 searches Bolot Studio FAQs and store policies, with a specific verb and resource. It also lists coverage areas (product questions, sizing, finishes, shipping, returns, ordering) that distinguish it from sibling product search tools like search_products.

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 policy/FAQ questions via the coverage list, but it does not explicitly say when to use this tool instead of alternatives such as search_products or get_store_info. No exclusions or alternative recommendations 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

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.

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