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Search energy drinks

search_drinks
Read-onlyIdempotent

Text search over energy drink names and brands. Returns up to 10 matching drinks with caffeine, sugar and a link to each drink page, or no results when EnergyDrinkRatings has no entry for the name.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results to return (max 10)
queryYesDrink name or brand to search for, e.g. 'Bang Purple Haze' or 'Celsius'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real context beyond that: the return payload (caffeine, sugar, link), the ~10-result cap, and the empty-result behavior when no entry exists. It does not state result ordering/ranking, which is the main remaining gap.

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, front-loaded with what the tool does and followed by the return/empty-result contract. Every clause carries information; nothing is redundant with the title or annotations.

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?

With no output schema, the description correctly takes on the burden of describing the return fields and the no-result case, which it does. Remaining gaps are secondary for a simple two-parameter search: result ordering and whether brand matching is prefix or substring.

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 parameters are documented with examples and bounds, giving a baseline of 3. The description adds nothing about how `limit` interacts with the stated 'up to 10' cap, and that phrasing could even read as a fixed ceiling independent of the parameter.

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 and resource ('Text search over energy drink names and brands'), which is unambiguous. It does not distinguish itself from the sibling find_drinks, which by name sounds like it does something very similar, so an agent cannot fully route between them from the description alone.

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: 'Text search' suggests a name/brand lookup, and the note about no results when EnergyDrinkRatings has no entry hints at coverage limits. There is no explicit when-to-use, when-not-to-use, or reference to find_drinks / get_drink / compare_drinks as alternatives.

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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