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nymrel
by nymrel

nymrel_proof_ledger

Generate RFC-6962 compliant Merkle tree attestations and audit receipts for autonomous agent operations, with verification proof paths for cryptographic sealing of actions.

Instructions

Generates RFC-6962 compliant SHA-256 Merkle tree execution attestations, audit receipts, and verification proof paths for autonomous agent operations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesSemantic action name (e.g. "git_commit", "file_mutation", "api_call")
agentIdYesIdentifier of the executing agent
payloadYesJSON metadata or diff payload to cryptographically seal
prevProofHashNoOptional previous Merkle root hash to extend existing audit chain
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It earns credit for concrete technical commitments (RFC-6962 compliance, SHA-256, Merkle structure) and lists three distinct output artifacts. However, given the name contains 'ledger' and the prevProofHash parameter implies chained state, the description never clarifies whether this is a pure computation or persists state — a meaningful gap for an agent deciding side-effect safety.

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?

A single sentence with zero wasted words, which is economical, but the 'Generates [triple-noun technical object]' construction front-loads dense jargon and buries the functional purpose 'for autonomous agent operations' at the very end. The three-artifact list ('attestations, audit receipts, verification proof paths') reads as near-synonyms and could be tightened or exemplified to actually discriminate meaning.

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?

There is no output schema and no annotations, so the description must compensate, yet it omits the return value shape, the chaining semantics of prevProofHash on the 'audit chain,' and any stated relationship to nymrel_proof_verify. The open-ended action examples ('git_commit', 'file_mutation', 'api_call') hint at a massive API surface but the description never constrains which actions are valid.

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 coverage is 100%, so the baseline is 3. The description's 'seal' language aligns with payload's schema description, but the description adds no meaning beyond what the schema already provides — it never explains how 'attestations' maps to specific parameters or how prevProofHash chains 'execution' events into one 'audit chain.' The description stays at the artifact level while the schema handles parameter level.

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?

Names a specific verb ('Generates') and concrete resources ('attestations, audit receipts, verification proof paths') with standards backing (RFC-6962, SHA-256). However, it does not distinguish itself from sibling nymrel_proof_verify, which is the natural generate-vs-verify counterpart an agent would confuse it with.

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 guidance on when to use this tool versus siblings like nymrel_proof_verify. The description never clarifies that this is the generation half of a generate/verify pair, so an agent facing 14 opaque 'nymrel_*' tools gets no decision support. Usage context is only implied via the closing phrase 'for autonomous agent operations,' which is far too broad to route on.

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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