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audit_chain_artifact_claim

Read-only

Audits a DERO chain artifact (block, transaction, or proof) and returns a verdict on whether it is a known false claim, along with on-chain facts, decoded proof, narrative, and rebuttal citations.

Instructions

Composite: audit a chain artifact (block topoheight, block hash, TX hash, and/or proof string) end-to-end. Returns a verdict (cited_in_false_claim | clean), the actual on-chain facts (block reward, TX acceptance status), an optional proof-string decode, a relayable narrative, and curated rebuttal docs citations.

When to call: when the user asks "what's going on with DERO block X?" / "is this transaction the inflation-claim TX?" / "does this proof string come from a known false claim?" PREFER this over chaining dero_get_block_header_by_topo_height + dero_get_transaction + dero_decode_proof_string yourself: the composite already runs them in parallel, joins them against the flagged false-claim registry, and emits a single verdict field plus a narrative so the agent does not need to compose the rebuttal arc from scratch each time.

Input Requirements (CRITICAL):

  • At least ONE of topoheight, block_hash, tx_hash, or proof_string MUST be provided. The composite throws INVALID_INPUT otherwise.

  • topoheight is OPTIONAL. Non-negative integer.

  • block_hash is OPTIONAL. 64 hex characters.

  • tx_hash is OPTIONAL. 64 hex characters.

  • proof_string is OPTIONAL. Full deroproof… / DERO bech32 string with HRP.

  • include_forge_demo is OPTIONAL (default false). When true AND tx_hash is provided, also forges a fresh demo proof for the same TX (via dero_forge_demo_proof) and embeds it under forge_demo. The demo amount auto-selects: a flagged artifact's pinned amount (e.g. -2.2M for the 2022 claim) > the cited proof_string V > -1 DERO. PREFER setting this true when the agent is fielding a "Verified ✓ means the chain minted coins, right?" question — the embedded forge IS the refutation.

Output: { verdict, inputs, matched_artifacts[], context_note, chain_facts, proof_decode, forge_demo, narrative, related_docs, _diagnostics }. verdict is cited_in_false_claim when any input matches the flagged-artifact registry, else clean. chain_facts is null when no chain-querying input was provided or all daemon calls failed; proof_decode is null when no proof_string was provided. forge_demo is null unless include_forge_demo: true was passed; on success it carries { skipped: false, forged_proof_string, target_amount, ring_slot, ring_size, ring_receiver_address, math, self_check, explorer_display_amount, demo_amount_source } (the slim form — full citations stay at the top level).

PREFER citing the returned related_docs verbatim in the agent response — they are the canonical rebuttal pages and have been validated against the bundled docs index by CI. Quote the context_note when verdict is cited_in_false_claim so the user understands why the artifact matters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topoheightNoTopological height of a block to audit.
block_hashNo64-char hex block hash to audit.
tx_hashNo64-char hex transaction hash to audit.
proof_stringNoOptional `deroproof…` / DERO bech32 string to also decode and check.
include_forge_demoNoWhen true AND tx_hash is provided, also forge a fresh demo proof for the same TX (via dero_forge_demo_proof) and embed it under `forge_demo`. Closes the rebuttal loop in one tool call. Default false.
Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false. The description adds context on the composite's behavior: it runs parallel calls, flags against a false-claim registry, and optionally forges a demo proof via dero_forge_demo_proof. While forging might raise concerns about mutability, the description frames it as a computational transformation embedded in output, not a persistent change, so no contradiction but close.

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?

The description is well-structured with sections for purpose, when to call, input requirements, and output. It is thorough but slightly verbose; however, every sentence adds value. Front-loads key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (composite with 5 parameters, no output schema), the description comprehensively covers output fields (verdict, chain_facts null cases, proof_decode null, forge_demo condition), edge cases, and usage guidance. It fully accounts for all aspects of the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds significant meaning: explains at least one parameter required, topoheight optional non-negative, block_hash/tx_hash 64 hex, proof_string full bech32, and include_forge_demo default false with detailed auto-selection logic. This goes well beyond the schema.

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 the tool is a 'Composite' that audits a chain artifact end-to-end, specifying the return verdict, chain facts, proof decode, narrative, and rebuttal citations. It distinguishes from siblings like dero_get_block_header_by_topo_height by noting it aggregates multiple calls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-call examples, advises preferring this over chaining individual tools, lists required input constraints (at least one parameter), and explains when to use include_forge_demo. It also instructs to cite returned related_docs verbatim.

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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