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Lanzamientos IA

by com.lanzamientosia

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

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false. The description adds 'live' (real-time data) and 'same-category' filtering, which are behavioral traits beyond the annotations. No contradictions with annotations.

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 description is two sentences, front-loaded with the main action, and every sentence contributes meaning. Includes examples and usage context without redundancy.

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?

Given the simple single-parameter schema, clear annotations, and presence of output schema, the description covers all necessary aspects: what it does, when to use it, and a key parameter nuance. It is complete for the tool's complexity.

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 has 100% coverage for the single `target` parameter. The description adds extra semantic value by emphasizing the target must be a well-known tool's slug and not a listing slug, which is not fully captured in the schema description.

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 clearly states the tool's purpose: 'List live, same-category alternatives to a well-known AI tool' with specific examples. It distinguishes itself from siblings like get_tool and search_tools by focusing on alternatives to well-known tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides when to call: 'Call this when a user asks what are the alternatives to X or wants competitors/substitutes for a named product.' Also adds a crucial restriction that `target` is a well-known tool's slug, not a listing slug from the catalog.

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 targets a distinct action: searching, retrieving details, listing alternatives, listing offers, creating a checkout, and submitting a new tool. Descriptions clearly differentiate search_tools from list_alternatives (free-text vs. named competitor) and get_tool (specific slug lookup), so an agent can reliably choose the right one.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (create_checkout, get_tool, list_alternatives, list_offers, search_tools, submit_tool). The verbs are distinct and meaningful, making the API highly predictable.

Tool Count5/5

Six tools is well-scoped for a server that handles discovery, submission, and paid promotion for AI tool listings. Each tool serves a clear purpose without redundancy, and the count feels appropriate for the domain's complexity.

Completeness5/5

The tool surface covers the primary user journeys: finding tools (search_tools), examining a specific tool (get_tool), comparing alternatives (list_alternatives), understanding promotional offers (list_offers), purchasing an offer (create_checkout), and adding new tools (submit_tool). There are no obvious dead ends, and the workflow from discovery to purchase to submission is fully supported.

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