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Laspi Business Directory

search_businesses

Search the Laspi public business directory (small businesses: services, location, languages). Returns top matches with name, description, city, languages and the canonical page URL. Use the customer's own words as the query, e.g. 'manicure in Alicante' or 'online QA course in Russian'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoOptional city filter (substring)
nicheNoOptional niche key filter
queryYesNatural-language search query
languageNoOptional service language filter (ISO code)

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, rate limits, pagination, or authentication requirements. The description only states that it returns top matches, which is minimal disclosure.

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 very concise at two sentences. It is front-loaded with the core action and resource, and every sentence serves a purpose without superfluous text.

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 lack of an output schema, the description lists the returned fields (name, description, city, languages, URL), which is helpful. The tool has 4 parameters, and the description covers essential usage context, though ordering or result limits are not mentioned.

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 coverage is 100%, so the baseline is 3. The description adds value by providing usage examples and emphasizing natural-language queries, but does not significantly expand on the parameter descriptions already present in the schema.

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 states the tool searches the Laspi public business directory and returns matches. It uses the verb 'Search' and specifies the resource. It does not explicitly differentiate from siblings 'ask_directory' and 'get_business', but the purpose is well-defined.

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 an example of how to formulate queries and advises using the customer's own words. However, it does not give guidance on when to prefer this tool over its siblings, nor does it mention scenarios where it should not be used.

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 clear, distinct purpose: ask_directory for natural language queries about customer needs, search_businesses for keyword-based search, and get_business for retrieving full details by slug. No overlap.

Naming Consistency5/5

All tools use a consistent verb_noun pattern in snake_case (ask_directory, get_business, search_businesses), making them predictable and easy to understand.

Tool Count4/5

With 3 tools, the server is lean but covers the core operations for a business directory: search, ask, and retrieve details. While minimal, it is appropriate for the domain and avoids unnecessary complexity.

Completeness4/5

The tool set covers search, natural language query, and detail retrieval. Minor gaps exist (e.g., no explicit filtering by category), but the tools are well-designed to handle common workflows and can work around limitations via the query parameter.

Resources