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Continue AUX RWA Evidence Dialogue

aux_rwa_action_preflight_continue

Continue a live RWA dialogue with honest true, false, or UNKNOWN answers, correct the target, confirm the displayed target to request a signed STOP/REVIEW, or abort. A false answer is recorded immediately and produces STOP when the agent explicitly sends CONFIRM_TARGET.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
responseYes
artifactsNo
correctionsNo
preflight_idYes
confirmationsNo
confirmation_tokenYes
acknowledged_evidence_commitmentNo

TDQS

A3.5/5.0
Behavior4/5

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

The description adds useful behavioral context beyond the annotations, particularly that a false answer is recorded immediately and produces STOP only when CONFIRM_TARGET is explicitly sent. This state-dependent behavior is not derivable from readOnlyHint, openWorldHint, idempotentHint, or destructiveHint alone.

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 compact and front-loaded with the core action, and the second sentence delivers an important behavioral consequence. The first sentence is a long list of options, but it remains efficient and within reasonable length.

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?

Given 7 parameters, nested objects, no output schema, and zero schema description coverage, the description is not complete enough. It communicates high-level dialogue actions but leaves required identifiers, token semantics, and the structure of evidence-related payloads unexplained.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it only partially explains the response options (CONFIRM_TARGET, CORRECT, ABORT, PROVIDE_EVIDENCE). It does not explain the required preflight_id and confirmation_token, nor the nested objects corrections, confirmations, artifacts, or acknowledged_evidence_commitment.

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 clearly states a specific action and resource: continuing a live RWA dialogue, and enumerates the possible actions within it. It is distinguishable from the sibling 'start' and 'capabilities' tools through the word 'continue' and 'live', though it does not explicitly name any sibling.

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?

The phrase 'Continue a live RWA dialogue' provides clear context for when this tool applies: only when a dialogue already exists and is ongoing. It does not explicitly state exclusions or name alternatives, but the 'live dialogue' context effectively separates it from start/capabilities tools.

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
Disambiguation4/5

Each tool targets a distinct domain or lifecycle step, and descriptions clearly separate capability discovery from evaluation and verification. The two evaluation-like tools (aux_evidence_evaluate and aux_transaction_preflight) could be confused at a glance, but their scenarios are explicitly differentiated.

Naming Consistency4/5

All names use the aux_ prefix with snake_case, which is a consistent and readable pattern. There is minor inconsistency in whether the final token is a verb (evaluate, verify, start, continue) or a noun (capabilities, preflight, evidence), but the overall structure is predictable.

Tool Count5/5

Ten tools is well within the ideal range and each tool earns its place: three capability discovery tools, several scenario-specific preflight evaluators, a three-step RWA dialogue flow, and a receipt verifier. Nothing feels redundant or bloated.

Completeness4/5

The surface covers discovery, evaluation, continuation, and verification across multiple financial evidence domains, including a full dialogue lifecycle for RWA actions. Minor gaps exist, such as no general status/history endpoint for past preflights, but the core workflows are complete and operational.

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