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seasayDev

makiti-mcp

by seasayDev

product_compare

Compare two products side-by-side on specs, prices, pros/cons, and a verdict. Optionally provide budget in CAD or category to prioritize value.

Instructions

Compare two products side-by-side: specs, prices, pros/cons, and verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budgetNoBudget in CAD to prioritize value
categoryNoProduct category for context (e.g. smartphone, laptop)
product_aYesFirst product name/model (e.g. "iPhone 15")
product_bYesSecond product name/model (e.g. "Samsung S24")
Behavior3/5

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

No annotations are provided, so the description is the sole source of behavioral information. It discloses the content of the comparison (specs, prices, pros/cons, verdict) which gives some insight into return format, but it does not mention side effects, data freshness, or any limitations such as whether it performs live lookups.

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?

The entire description is a single, front-loaded sentence with no redundant words. Every element (compare, two products, output types) contributes to understanding.

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?

The tool is simple with 100% schema coverage and no output schema, but the description compensates by listing the returned comparison elements (specs, prices, pros/cons, verdict). It could be more complete by noting how optional parameters like budget affect the analysis, but it is adequate for a basic comparison tool.

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?

All four parameters have descriptions in the schema, which covers 100% of parameter semantics. The description does not add extra meaning beyond the schema, as it only mentions 'two products' without detailing how budget or category influence the comparison.

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

Purpose5/5

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

The description opens with a specific verb 'Compare' and resource 'two products', and enumerates the output dimensions (specs, prices, pros/cons, verdict). This clearly differentiates it from sibling tools like product_search and find_best_price.

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?

The description implies the use case of comparing exactly two products side-by-side, which is clear from the first phrase. However, it does not explicitly state when to prefer this over siblings like find_best_price or price_history, nor does it mention exclusions, so it lacks explicit usage boundaries.

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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