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Search drinks

search_drinks

Search and filter the PEWES ENERGY catalogue. Returns a page of drinks with slug, name, price per can in EUR, stock, range, sugar, taste and caffeine options.

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": "search_drinks"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNo
sortNo
queryNoFree text, matched against names and descriptions
sugarNo
tasteNoComma separated: citrus, berry, tropical, orchard, botanical, roasted
categoryNoRange slug: guilt-free-pleasures, sweet-sins, herbal-delights, coffee-culture
in_stock_onlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the return shape (slug, name, EUR price, stock, range, sugar, taste, caffeine) and that results are paginated, which is real value absent an output schema, but it says nothing about defaults (sort order, page), result limits, or whether ineligible/out-of-stock items are excluded.

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 short sentences, the purpose front-loaded and the return inventory following. No filler; the only wasted space is that the field list duplicates information an output schema would normally carry.

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?

The return-field enumeration compensates for the missing output schema, and pagination is acknowledged. However, for a 7-parameter filter tool with no annotations and 43% schema coverage, missing defaults, result caps, and filter-combination behavior leave real gaps.

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?

Seven parameters at 43% schema coverage, and the description adds no parameter meaning at all. It never explains page, sort, sugar, or in_stock_only semantics, and it mentions 'caffeine' as a return field while the schema exposes no caffeine filter — a potential source of confusion.

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 filter') plus the resource ('the PEWES ENERGY catalogue') and lists the returned fields. It is clearly the list/browse counterpart to get_drink, but it never names the sibling or explicitly contrasts itself with get_price_list or get_drink.

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?

No statement of when to use this versus get_drink (single item), get_price_list, or read_page, and no prerequisites or exclusions. The search framing implies a discovery use case, but the agent must infer that entirely.

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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