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FinanceGenius.AI

Compare products side by side

compare_products
Read-only

Side-by-side compare 2-4 products of the same category.

    Args:
        product_slugs: List of 2-4 product slugs. All must be in the same
                       category (e.g. all credit cards, or all FDs).

    Returns:
        A markdown comparison table highlighting feature differences.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by disclosing the return format (a markdown table highlighting feature differences) and the same-category precondition, which is not in any structured field.

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?

Short and front-loaded, with the core behavior in the first line and supporting detail in Args/Returns blocks. Slightly boilerplate-heavy for a one-parameter tool, but nothing is wasted.

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 usefully describes the return (markdown comparison table), and it documents the single parameter's constraints. Complete enough to invoke correctly; only the source/format of valid product slugs is left implicit.

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

Parameters4/5

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

Schema description coverage is 0%, so the description carries the burden for the single parameter and does so well: it specifies the type (slugs), the valid range (2-4), and the cross-parameter constraint (all same category with concrete examples). A minor gap is that slug format/source is not explained.

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?

States a specific verb ('side-by-side compare') and resource ('2-4 products of the same category'), which cleanly separates it from siblings like get_product_details and search_indian_products. An agent can identify the tool's job without opening the schema.

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?

The description implies usage via the 'same category' constraint and the count range, but never states when to prefer this over get_product_details or find_best_card_for_spend. No explicit when/when-not guidance or named 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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