AI Startup Hub

submit_product

List a product, tool or website in the AI Startup Hub directory. Returns the slug and the URL of a server-rendered, indexable page that carries a dofollow backlink to the submitted url. The url must be publicly reachable. No API key needed; limit 10 submissions per hour per IP, 3 products per host.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>",
      "name": "<name>"
    },
    "name": "submit_product"
  }
}

Input Schema

Name	Required	Description
`url`	Yes	Public http(s) URL of the product homepage
`name`	Yes	Product name, max 200 chars
`tags`	No	Up to 10 lowercase tags
`category`	No	One lowercase category, e.g. ai, developer-tools, saas, open-source, api, automation
`description`	No	One or two sentences on what the product does, max 5000 chars

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 19, 2026

TDQS

A4.5/5.0

Behavior5/5

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

Beyond the annotations (openWorldHint, non-idempotent, non-destructive), it discloses concrete operational detail: no API key required, a limit of 10 submissions per hour per IP, 3 products per host, and that the url must be publicly reachable. It also explains what the operation produces — a server-rendered indexable page with a dofollow backlink — which is exactly the kind of side-effect context the annotations don't carry.

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?

Four short sentences, each earning its place: purpose, return value, precondition, and limits. The purpose and outcome are front-loaded before the operational constraints.

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?

There is no output schema, so the description responsibly states the return (slug and URL), and it covers rate limits, auth requirements, and input preconditions. An agent has everything needed to decide to call it and to call it correctly.

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?

Schema description coverage is 100% and all five parameters are documented in the schema (url, name, tags, category, description). The description adds only the 'publicly reachable' constraint on url, which is marginally beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb and resource — listing a product/tool/website into the AI Startup Hub directory — and immediately clarifies the submission semantics by describing the returned slug, URL, and dofollow backlink. This distinguishes it from read-oriented siblings like list_products, search_products, and get_product, which enumerate rather than create entries.

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?

It establishes the context ('list a product in the directory') and preconditions ('url must be publicly reachable'), effectively telling the agent when this tool applies. It stops short of naming alternatives (e.g., upvote_product or search_products are not mentioned), so there are no explicit when-not-to-use exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All AI Startup Hub tools Inspect

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