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Build NFT collection manifest

build_nft_collection_manifest
Read-only

Builds the transaction manifest that creates a new non-fungible resource (NFT collection) on Radix with a set of initial NFTs (name, description, image), sensible defaults (owner: none, transfers open). The NFTs are deposited into the given account. For custom data fields or advanced role setups, send the user to the console create-token tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCollection name, e.g. "My Collection"
nftsYesInitial NFTs to mint into the collection
localeYesLanguage of the returned labels/links: "en" or "es"en
iconUrlNoHTTPS URL of the collection icon
networkYesRadix network: "mainnet" (production) or "stokenet" (testnet)mainnet
burnableYesAllow burning NFTs
mintableYesAllow minting more NFTs later
descriptionNoCollection description
accountAddressYesAccount that receives the minted NFTs

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so the description usefully adds that the manifest is built with sensible defaults (owner: none, transfers open) and that NFTs land in the given account. It does not explicitly say the output is an unsigned manifest requiring preview/signing, which would remove the mild ambiguity between 'builds' and 'creates'.

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?

Two sentences: the first front-loads what is built and its defaults, the second handles the escape hatch to the console tool. No filler or repetition.

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 9-parameter builder with no output schema, the description covers the effect, the defaults and the fallback path, which is enough to invoke it correctly. It stops short of describing the returned manifest or the expected next step (preview/validate/sign).

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%, so every parameter (name, nfts, mintable, burnable, network, locale, accountAddress, iconUrl, description) is already documented in the schema. The description restates the NFT payload fields and defaults but adds no syntax or format detail beyond the schema, so baseline 3 applies.

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 (builds) and resource (transaction manifest creating an NFT collection on Radix), plus the scope of what the manifest does (initial NFTs deposited into an account). It is clearly separable from the other build_* manifest siblings and from get_nft_data.

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?

Gives an explicit routing rule: for custom data fields or advanced role setups, send the user to the console create-token tool. It does not contrast against build_fungible_token_manifest or build_manifest_from_template, but the boundary for this tool's supported subset of cases is clear.

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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