category_detail
Find top businesses in a home and interiors category, such as fitted kitchens, bathrooms or flooring.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| category | Yes | Lowercase hyphenated slug, for example leeds |
Find top businesses in a home and interiors category, such as fitted kitchens, bathrooms or flooring.
| Name | Required | Description | Default |
|---|---|---|---|
| category | Yes | Lowercase hyphenated slug, for example leeds |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and scope are covered. The description adds that the result is 'top businesses' inside a category, hinting at ranked/filtered output, but says nothing about how many are returned, how 'top' is ranked, or pagination.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler. It is efficient, though its brevity is part of why the differentiation gaps remain.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With one required, fully documented parameter and annotations covering safety, only the return shape is left open. Since there is no output schema, the description should say more about what 'top businesses' means (count, fields, ranking) to be complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description contributes domain examples (fitted kitchens, bathrooms, flooring) that clarify what category values mean, but they are multi-word phrases while the schema demands a lowercase hyphenated slug — a mild inconsistency rather than added precision.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
It says it finds 'top businesses' in a home and interiors category, which conveys a verb and a resource, but the name 'category_detail' implies a category-record lookup rather than a business listing. It never distinguishes itself from search_listings or list_categories, so an agent cannot confidently separate the four similarly-scoped siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to use this versus list_categories (enumerate categories), search_listings (search), or listing_detail. The example categories imply browsing, but the agent must infer that from the noun choice alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.