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klook_interests

Read-only

List Klook's interest-topic landing pages from its own interest sitemap: each entry's interest id, slug, city or country scope and absolute URL, plus the total URL count and distinct interest-id count. Takes no input. Use a returned interest id with klook_search_filters and klook_search (the interest_tag parameter) to browse a topic, and klook_categories when you need the category taxonomy instead of interest topics.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "klook_interests"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuine context beyond them: the data originates from Klook's own interest sitemap and the response includes aggregate counts (total URL count, distinct interest-id count), which tells the agent what coverage and shape to expect. Minor gap: no statement about freshness or pagination/truncation of the sitemap listing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource and scope, then the chaining guidance. The mid-sentence field enumeration is slightly dense, and the return-field list partially duplicates the output schema, but every element still serves selection or usage.

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?

An output schema exists, so return values need not be explained, yet the definition still signals them briefly; it also covers no-input behavior, data source, and both follow-on tools. For a zero-parameter discovery tool this leaves nothing an agent needs missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters the baseline is 4, and the description confirms the contract with "Takes no input," matching the empty schema with additionalProperties=false. Nothing further about parameters is needed or possible.

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?

Opens with a specific verb and resource ("List Klook's interest-topic landing pages from its own interest sitemap") and enumerates the returned fields (interest id, slug, city/country scope, absolute URL). It explicitly contrasts with klook_categories, so an agent can distinguish it from the closest sibling without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit downstream path: use a returned interest id with klook_search_filters and klook_search via the interest_tag parameter. It also names the when-not case ("klook_categories when you need the category taxonomy instead of interest topics"), leaving nothing to inference.

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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