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Find alternatives to a product

find_alternatives
Read-only

List what the NutsGrowth directory files as a replacement for a named product, e.g. "Notion" or "Google Drive", with the same filters as search_tools. Matching is on the product's name as the directory writes it; when nothing matches, the answer suggests names it does file alternatives for. Returns at most 10 listings and the total, in alphabetical order.

Input Schema

NameRequiredDescriptionDefault
tagsNoUp to 5 tag slugs from list_filters. A listing must carry all of them.
limitNoHow many to return. At most 10, which is also the default.
countryNoWhere the company is based: an ISO 3166-1 alpha-2 code such as "DE", or the name list_filters gives.
productYesThe product to replace, by name.
categoryNoA category slug from list_filters. Includes its sub-categories.
free_planNoOnly listings that have (true) or do not have (false) a free plan or free tier, by a price a person checked.
open_sourceNoOnly listings that are (true) or are not (false) open source.
price_checkedNoOnly listings whose price a person has (true) or has not (false) checked.
self_hostableNoOnly listings that can (true) or cannot (false) be run on your own servers.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the read-only, closed-world safety profile, so the description's added value is its disclosure of matching semantics ('matching is on the product's name as the directory writes it'), the max-10 result cap with total, alphabetical ordering, and the suggested-names fallback when nothing matches. Those are genuine behavioral traits beyond the annotations, though nothing is said about pagination or rate limits.

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 dense sentences with no filler; the resource and scope lead, followed by matching rules and return shape. The embedded examples ('Notion', 'Google Drive') earn their space by pinning down expected input format.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description still supplies the return contract: at most 10 listings plus a total, alphabetized, with a documented fallback response. Combined with the 100%-covered input schema and annotations, an agent has everything needed to call it correctly.

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 coverage is 100%, so the baseline is 3, but the description adds real meaning for the required 'product' parameter by explaining the exact-match rule against the directory's own spelling and warning about the no-match fallback. It also clarifies that the remaining filters behave identically to search_tools.

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 and resource ('List what the NutsGrowth directory files as a replacement for a named product') and anchors it against the sibling search_tools by sharing its filter set. An agent can distinguish this from search_tools and compare_tools immediately.

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 clear context: use it when you have a named product to replace, and it explicitly defers filter semantics to search_tools. It also describes the empty-result fallback behavior. It stops short of stating when NOT to use it versus search_tools or get_tool.

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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