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launch_product

Launch a product. Free launches are moderated and queued. Needs X-Agent-Key.

Input Schema

NameRequiredDescriptionDefault
urlYes
nameYes
tagsNo
connectNo
pricingNo
taglineYes
descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / connect
      Added value: +{
      +  "properties": {
      +    "api_url": {
      +      "format": "uri",
      +      "type": "string"
      +    },
      +    "auth": {
      +      "enum": [
      +        "none",
      +        "api_key",
      +        "oauth",
      +        "unknown"
      +      ],
      +      "type": "string"
      +    },
      +    "install": {
      +      "maxLength": 200,
      +      "type": "string"
      +    },
      +    "mcp_url": {
      +      "format": "uri",
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
    • addedInput schema / properties / pricing
      Added value: +{
      +  "properties": {
      +    "model": {
      +      "enum": [
      +        "free",
      +        "freemium",
      +        "paid",
      +        "unknown"
      +      ],
      +      "type": "string"
      +    },
      +    "note": {
      +      "maxLength": 120,
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "model"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two useful traits: free launches are moderated and queued, and an X-Agent-Key header is required. However, it omits reversibility, what happens on validation failure, and any response/return behavior for a mutation tool.

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?

Three short, front-loaded sentences with the core action first and the auth/moderation constraints following. No waste, though it is arguably too terse given the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, 7 parameters, nested objects, and 0% schema coverage, the description is far too thin. It surfaces the auth header and moderation queue but leaves the parameter surface and mutation effects undocumented.

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

Parameters1/5

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

Schema description coverage is 0% across 7 parameters (4 required) plus nested connect and pricing objects, and the description adds nothing about any parameter. The agent gets no meaning for name, url, tagline, tags, or pricing beyond the bare schema.

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?

States a specific verb+resource ('Launch a product'), which clearly separates it from siblings like get_launch, update_launch, list_launches, and search_launches. It lacks explicit sibling naming but the action is unambiguous.

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

Usage Guidelines2/5

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

No explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The moderation/queue note hints at context but does not tell the agent under what conditions to pick this tool over others.

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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