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tokopedia_home

Read-only

Fetch Tokopedia's public home recommendations for a selected home tab and page. Use tokopedia_home_tabs to discover tabs, tokopedia_search for a keyword, or tokopedia_product for one listing.

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": "tokopedia_home"
  }
}

Input Schema

NameRequiredDescriptionDefault
PageNoRecommendation page from 1 through 5
TabIDNoCurrent ID from /tokopedia/home/tabs

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. Changed2 schema fields changed
    • addedInput schema / properties / Page / description
      Added value: +"Recommendation page from 1 through 5"
    • addedInput schema / properties / TabID / description
      Added value: +"Current ID from /tokopedia/home/tabs"
  2. First observed

TDQS

A4.2/5.0
Behavior3/5

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 that results are 'public' recommendations and are paginated by tab/page, which is useful, but it does not mention rate limits, ordering, or result freshness. The bar is lower with annotations present, so a 3 is appropriate.

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?

Two sentences with zero filler; the core action is front-loaded and the alternative-routing clause follows compactly. Every clause earns its place.

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?

For a read-only, zero-required-parameter feed tool with an output schema present, the description supplies purpose and sibling routing, which is nearly everything the agent needs. Return values need not be explained since the output schema exists, though the TabID acquisition path could be stated even more explicitly.

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%, so both Page and TabID are already documented in the schema, including the 1-5 range and the pointer to /tokopedia/home/tabs. The description only loosely echoes 'selected home tab and page' and adds no syntax or format detail beyond the schema, so the baseline 3 holds.

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?

States a specific verb and resource ('Fetch Tokopedia's public home recommendations') and narrows scope to a selected tab and page. It explicitly names the sibling tools it is not, so an agent can distinguish it from tokopedia_search and tokopedia_product without opening any 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 explicit routing: 'Use tokopedia_home_tabs to discover tabs' for the TabID prerequisite, tokopedia_search for keyword lookup, and tokopedia_product for a single listing. The condition that selects each alternative is stated, 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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