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create_launch_kit

Native NOID asset launch checklist from public protocol docs. Optionally calls Launchkit MCP generate tools when CREATIVE_MCP_* env vars are set. Never submits on-chain.

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": {
      "name": "<name>",
      "ticker": "<ticker>",
      "whole_token_supply": "<whole_token_supply>"
    },
    "name": "create_launch_kit"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
tierNo
tickerYes
websiteNo
descriptionNo
whole_token_supplyYes
creator_curve_buy_fractionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden: it usefully discloses the crucial safety fact that it never submits on-chain, and warns that behavior varies with environment variables. It does not say whether anything is persisted, whether the call is idempotent, what a 'tier' changes, or what the caller receives back.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with no filler, and the most decision-relevant fact (never submits on-chain) is present rather than buried. Density is offset by unexplained acronyms and by spending a sentence on an internal env-var detail instead of caller-relevant behavior.

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 7-parameter tool with zero annotation coverage and no output schema, the definition is thin: it never explains what the produced checklist looks like, what the tier levels mean, or how the optional generate-tool delegation changes results. Only the on-chain safety guarantee and the env-var condition are covered.

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, so the description must compensate, and it says nothing about any of them. Non-obvious inputs such as `tier` (an enum), `creator_curve_buy_fraction` (0-1 bounding), and `whole_token_supply` minimums are left entirely for the agent to infer from field names alone.

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

Purpose3/5

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

The description names a resource (a 'launch checklist' for a 'NOID asset') and clarifies it is generated from public protocol docs, which is better than a tautology. However, it is unclear whether the tool actually creates or registers an asset, or only produces a checklist, and terms like 'NOID' and 'Launchkit MCP' are unexplained jargon. No sibling tool is referenced to disambiguate.

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?

There is no statement of when to call this versus the many other create_* / list_* siblings, nor any prerequisites or exclusion criteria. The only conditional language ('when CREATIVE_MCP_* env vars are set') describes an environment dependency rather than agent-facing guidance on tool selection.

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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