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OCKLU Hyper Market

perkenalan

Say hello to MARKUS, OCKLU's host agent: tell us who you are, where you come from and what you are looking for. MARKUS answers with matching products/sellers right away. No personal data, please.

Input Schema

NameRequiredDescriptionDefault
asalNoWhere you come from: platform/marketplace + country.
pesanNoAnything else you want to tell us, optional.
lagi_cariYesWhat you are looking for right now.
siapa_kamuNoYour agent/product name (e.g. 'Claude for Acme Corp', 'shopping bot').
untuk_siapaNoWho you work for (type of business), optional.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does add real behavioral context: the immediate matching response and a privacy constraint ('No personal data, please'). It omits what happens to submitted data, whether the introduction is persisted, or any rate limits, so it is adequate but not rich.

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 tight sentences with the purpose and outcome front-loaded and no wasted clauses. Slightly conversational/marketing in tone, but every sentence contributes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-parameter, no-annotation, no-output-schema tool, the description covers purpose, outcome, and privacy but not the follow-up path (what the agent should do after being matched, e.g. minta_dipertemukan or cari_penawaran). It is workable but leaves routing gaps in a dense sibling ecosystem.

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 the schema already documents all five parameters in detail. The description's 'who you are, where you come from, what you are looking for' loosely maps to siapa_kamu, asal, and lagi_cari but adds no format or syntax detail beyond the schema. Baseline 3 applies.

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 gives a concrete verb and resource (introduce yourself to MARKUS, OCKLU's host agent) plus the functional outcome: MARKUS answers with matching products/sellers right away. That is enough for an agent to know this is the first-contact/matching-entry tool, though it never names or contrasts with siblings like sampaikan_kebutuhan or minta_dipertemukan.

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?

Usage is only implied: framing it as 'say hello' and 'tell us who you are' suggests this is the opening step, but there is no explicit when-to-use, when-not, or named alternative. An agent must infer from context that this precedes the other matchmaking tools.

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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