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List AI build tools

list_tools
Read-only

List AI build tools tracked by Vibe Shipped (Cursor, Claude Code, Lovable, Bolt, Replit, v0, Windsurf, Rork...) with what each is, best use, official pricing summary with source, app counts, total/median stated monthly revenue of listed apps, top apps, and new listings in the last 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description goes further by enumerating what the response contains (what each tool is, best use, pricing with source, app counts, revenue totals/medians, top apps, new listings) — valuable given there is no output schema. It stops short of mentioning result size, ordering, or pagination.

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?

A single dense sentence, front-loaded with the verb and the tool roster before the field list. Nothing is wasted, but the trailing enumeration is long and comma-spliced, which makes the payload harder to scan than a short list would.

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 input parameters and no output schema, the description carries the burden of telling the agent what comes back, and it does so thoroughly — pricing, counts, revenue, top apps, recent additions. Missing only operational details such as result volume and ordering, which are minor for an unfiltered catalog call.

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?

The tool takes zero parameters, so the baseline of 4 applies. There are no argument semantics to explain, and the description correctly spends its length on returned content instead.

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

Purpose4/5

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

Specific verb (List) plus a concrete resource (AI build tools tracked by Vibe Shipped) with named examples (Cursor, Claude Code, Lovable, Bolt, Replit, v0, Windsurf, Rork). The enumerated return contents make it easy to recognize as the catalog/overview tool, though it never explicitly distinguishes itself from top_tools or latest_apps, which overlap with 'top apps' and 'new listings in the last 30 days'.

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?

Usage is only implied by the content description: an agent can infer this is the browse-everything entry point, but there is no explicit when-to-use statement and no mention of when to reach for compare_tools, top_tools, latest_apps or search_apps instead. No prerequisites or exclusions are given.

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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