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BayDeep — The e-commerce plugin for AI agents

shelf_search

Search the LOCAL shelf — physical goods (AliExpress) AND flight fares (Travelpayouts). No platform quota consumed — works WITHOUT any API key (30 req/min per IP). sort=relevance(default when q given)|price|sales|latest; price_min/price_max filter. Goods items carry detail_url (attribute via convert_link with a free key); flight items carry book_url directly. Read-only.

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": "shelf_search"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNo
pageNo
sortNo
page_sizeNo
price_maxNo
price_minNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations supplied, the description carries the full disclosure burden and does well on safety ("Read-only"), cost (no quota, no API key) and rate limits (30 req/min per IP). It also distinguishes output shape (detail_url for goods vs book_url for flights). It says nothing about pagination limits, empty-result behavior, or what happens when q is omitted.

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?

Dense but front-loaded: the identity of the tool and its quota-free nature come first, followed by sort/filter semantics and output details. Semicolon-separated clauses are efficient, though the parenthetical about convert_link interrupts the flow slightly.

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 six-parameter search tool with no annotations and no output schema, it covers the essentials an agent needs: read-only, no auth, rate limit, sort options, price filtering, and the differing result link fields. The main gap is pagination semantics for page/page_size.

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 0%, so the description must compensate and does partially: it explains the sort enum values and the default-to-relevance-when-q-given rule, plus price_min/price_max filtering. page and page_size (capped at 50 in schema) are never mentioned, leaving half the parameters unexplained.

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?

States a specific verb ("Search") and resource ("the LOCAL shelf") and scopes it to two content types: physical goods from AliExpress and flight fares from Travelpayouts. It does not explicitly contrast with siblings like flight_search or search_products, so an agent must infer whether this supersedes or complements them.

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

Usage Guidelines4/5

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

Gives a concrete selection criterion: no platform quota consumed and works without an API key, implying this is the cheap/default path. It also notes that goods items should be attributed via convert_link. It stops short of stating when NOT to use it or how it relates to the domain-specific search siblings.

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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