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List alternatives to a tool

list_alternatives
Read-onlyIdempotent

List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. target is the well-known tool's slug, not a listing slug from this catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesSlug of the well-known target tool, e.g. 'chatgpt'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesnull when the target slug is not a known product.
alternativesYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds meaningful behavioral context beyond the schema by noting results are 'live', 'same-category', and that the target must be a well-known tool's slug rather than a catalog listing slug.

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 tight sentences: the first states the operation with examples, the second gives the exact user-intent trigger and a critical parameter clarification. No filler; every clause earns its place.

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?

For a single-parameter tool with a full output schema, strong annotations, and clear usage guidance, the description is complete. It covers what the tool does, when to use it, what the target parameter means, and the special constraint about slugs.

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% and the parameter already has an example, so the baseline is 3. The description adds value by explicitly warning that `target` is the well-known tool's slug, not a listing slug from this catalog, which prevents a likely misuse.

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 uses a specific verb and resource: 'List live, same-category alternatives to a well-known AI tool'. It also gives concrete examples and distinguishes itself from sibling tools like search_tools by clarifying that the input is a well-known tool's slug, not a listing slug from the catalog.

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 clearly states when to use the tool: 'Call this when a user asks “what are the alternatives to X” or wants competitors/substitutes for a named product.' It provides the trigger context but does not explicitly name alternative tools or state when not to use this tool versus search_tools, so it stops short of a full 5.

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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TDQS

A4.7/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: search for discovery, get for details, list alternatives for comparison, list offers for add-ons, create checkout for purchasing, and submit for adding new tools. No overlapping functionality is apparent.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case, with clear verbs like create, get, list, search, and submit. The naming is uniform and intuitive.

Tool Count5/5

With six tools, the set is appropriately sized for a catalog server covering search, retrieval, submission, and purchase flows. It's neither sparse nor bloated.

Completeness5/5

The tool surface covers the key user journeys: discovering tools (search, get, list alternatives), purchasing add-ons (list offers, create checkout), and contributing (submit). No essential operation seems missing for the stated purpose.

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