GYSM App and Store Builder

Compare AI app builders

compare_ai_app_builders

Read-onlyIdempotent

Sourced comparison of GYSM against Lovable, Bolt, v0, Base44 and Replit: pricing and allowances as listed on each product's own pricing page on the stated check date, plus what GYSM does and does not do. Facts may have changed since the check date, so confirm on the source pages. Read-only.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "compare_ai_app_builders"
  }
}

Input Schema

Name	Required	Description	Default
`rival`	No	Optional: only this rival (lovable, bolt, v0, base44 or replit).

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 13, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so credit goes to what's added: data provenance (each product's own pricing page), a stated check date, an explicit staleness caveat telling the agent to re-confirm on source pages, and the scope note that it includes limitations as well as capabilities. This is real behavioral context a caller couldn't infer from the annotations.

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?

Single front-loaded sentence with the key scope up front and the caveat trailing, plus a terse "Read-only" tag. Slightly clause-heavy (colon, plus, comma splice) but no wasted sentences.

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?

For a one-optional-param, no-output-schema read tool with annotations present, the description covers source, freshness caveat, and content scope well. The only gap is a light indication of result shape (e.g., whether it returns a per-rival table), which the absence of an output schema leaves partly unaddressed.

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

Parameters3/5

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

Only one optional parameter and schema description coverage is 100%, so the schema already documents `rival` and its allowed values. The description restates the same rival list without adding filtering semantics (e.g., what omission returns or how rival-only results differ). Baseline 3 is appropriate.

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 ("Sourced comparison of GYSM against Lovable, Bolt, v0, Base44 and Replit") and names the exact competitive set and data axes (pricing, allowances, GYSM capabilities). An agent can tell this apart from planning/purchase siblings like plan_app or start_checkout 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?

Usage is implied by the framing (a research/comparison lookup, marked read-only), and the optional `rival` narrowing is hinted at via the schema. However, the description never says when to reach for this versus siblings like get_gysm_plans or list_use_cases, nor when-not to use it. Adequate but no explicit routing guidance.

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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