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roll_random

Verifiable RNG — cryptographically-random integer(s) signed by the treasury key. Drop-in VRF for game studios. $0.001 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lowYesInclusive low bound of the integer range.
highYesInclusive high bound. Must be >= low.
countNoHow many integers to sample. 1-100.
labelNoOptional caller-defined tag (e.g. 'treasure_drop_42'). Included verbatim in the signed payload.
commitmentNoOptional 32-byte hex pre-commitment from the caller. Included in the signed payload, so the server cannot have chosen the result after seeing the caller's downstream intent.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate non-read-only behavior (readOnlyHint: false) and open-world effects. The description adds context about the signed payload and the cost per call, which goes beyond the annotations. However, it does not fully explain the payment flow or side effects in detail.

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?

The description is extremely concise: two sentences that front-load the core purpose, then add use case and cost. Every word earns its place with no waste.

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?

Given that there is no output schema, the description partially explains the return value ('cryptographically-random integer(s) signed by the treasury key'). It also mentions the cost, which is critical for a paid tool. However, it lacks a detailed explanation of the response format or the commitment/label semantics, though the schema covers those.

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?

The schema provides 100% coverage for all five parameters with descriptions. The tool description adds no additional parameter semantics beyond mentioning 'integer(s)', which is already covered by the count parameter. This meets the baseline for high schema coverage.

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 clearly states this tool generates cryptographically-random integers signed by the treasury key, using the phrase 'Verifiable RNG'. It distinguishes itself from sibling tools by explicitly targeting game studios and providing a VRF-like function, which no other sibling does.

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 tells you when to use it ('Drop-in VRF for game studios') and implies a paid service ($0.001 USDC), but it does not explicitly mention when not to use it or compare with alternative tools. This is a minor gap.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a clearly distinct function — anchoring, decoding, wallet intelligence, entertainment, etc. Even similar tools like decode_calldata vs decode_tx and intel_wallet vs screen_wallet are precisely separated by descriptions.

Naming Consistency3/5

Most names follow a verb_noun pattern (anchor_hash, decode_calldata), but there are exceptions like aura_read (noun_verb), intel_wallet (noun_noun), and ledger_report (ambiguous). This mixed convention is readable but not fully consistent.

Tool Count4/5

18 tools is slightly above the ideal range but not overwhelming. Each tool serves a specific purpose, and the count feels reasonable for the broad set of utilities offered.

Completeness4/5

The core utilities (anchoring, wallet intelligence, ledger accounting) are well-covered without obvious dead ends. Some domain-specific workflows could be expanded (e.g., verifying anchors), but the existing tools provide complete standalone operations.