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DAEMON — on-chain generative art (8004 NONCE + KOINE)

8004 NONCE: one piece in detail

nonce_get_piece
Read-onlyIdempotent

Full detail on one 8004 NONCE token: its seed (which IS the winning work hash), difficulty in leading-zero bits, band, rarity score, current owner, and links. Every value is read live from the chain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYestoken id (0-based; 0-20 are DAEMON's mined genesis)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds genuinely new context beyond that: 'Every value is read live from the chain,' telling the agent results are uncached/fresh on-chain reads rather than snapshots. It stops short of noting rate limits or how stale or missing tokens behave.

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?

Two sentences, no filler, with the subject (one token's full detail) front-loaded before the field list. The enumeration of fields is dense but earns its place since there is no output schema.

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 single-parameter read tool with annotations covering safety and no output schema, the description compensates by listing the returned fields and noting live chain reads. Nothing essential to invoking it correctly appears missing, though error/edge behavior for invalid ids is 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?

Schema description coverage is 100%, and the schema already explains the id parameter including the '0-based; 0-20 are DAEMON's mined genesis' detail. The description adds nothing about the parameter, so the baseline of 3 applies when the schema carries the full burden.

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?

The description names a specific verb-plus-resource ('Full detail on one 8004 NONCE token') and enumerates what that detail comprises (seed, difficulty, band, rarity, owner, links), so the agent knows exactly what comes back. It distinguishes itself implicitly from list-oriented siblings like nonce_census, though it never names an alternative outright.

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 only implied: the phrase 'one piece' signals a single-token lookup versus a census or listing, which is enough for an agent to infer the use case. There is no explicit when-to-use/when-not statement or routing to a sibling tool.

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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