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jeffmonteiroo

Shopee Affiliate MCP

observe_offer

Records a Shopee product offer observation in local SQLite using item_id and shop_id to track affiliate offer history.

Instructions

Registra uma nova observação do produto em SQLite local habilitado pelo administrador.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYes
shop_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
modeYes
syntheticYes
account_referenceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and destructiveHint=false, so the mutation profile is covered. The description adds that writes go to a local, administrator-enabled SQLite store, which is useful context. It does not disclose whether the observation is created remotely as well (openWorldHint=true suggests yes), leaving a mild tension with the "local" claim that is not fully resolved.

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?

A single compact sentence with no padding. It is appropriately sized, though it is so terse that efficiency shades into under-specification.

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

Completeness2/5

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 described. But for a 2-required-parameter, non-idempotent write tool with zero schema coverage and no parameter explanation, the description leaves the core question — what an "observação" actually is and when to create one — unanswered.

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

Parameters2/5

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

Schema description coverage is 0% for both required parameters, so the description carries the full burden of explaining item_id and shop_id — yet it mentions neither. It does not explain why a shop_id is required to record a product observation, nor the numeric-string ID format the schema enforces.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Registra uma nova observação do produto" gives a verb (register) and an object (product observation), plus a storage target (local SQLite). However, "observação" is ambiguous — it could mean a user note, a watch/star flag, or a scraper snapshot — and nothing distinguishes this tool from siblings like get_offer_history or get_offer.

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

Usage Guidelines2/5

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

The description offers no when-to-use condition, no prerequisite beyond the vague "habilitado pelo administrador", and never names an alternative tool. An agent has no way to know whether this should be called instead of, or in addition to, get_offer_history.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.