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AUX Evidence and Verification Engine

aux_evidence_evaluate
Read-onlyIdempotent

Evaluate synthetic third-party claims against signed attestation envelopes. Keeps source authority separate from cryptographic integrity and returns a deterministic decision plus revocable ES256-signed receipt. Real providers and private-ledger proof adapters are not yet active.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimsYes
case_idYes
channelYes
subjectYes
policy_idYes
attestationsYes
data_classificationYes

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering safety. The description adds meaningful behavioral details: it returns a 'deterministic decision plus revocable ES256-signed receipt' and notes the separation of source authority from cryptographic integrity. This goes beyond annotations and helps the agent understand outcomes, without contradiction.

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 three sentences, free of filler, and front-loads the primary action. Every sentence adds value, including the limitation note. It is concise without sacrificing essential context.

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?

For a tool with seven parameters, nested objects, and no output schema, this description is thin. It does not describe the structure of 'claims' or 'attestations,' the expected decision output, or the receipt format. The limitation note is useful but the overall guidance is incomplete, especially for an agent attempting a correct invocation.

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 for undocumented parameters. It does not explain any of the seven parameters (claims, case_id, channel, subject, policy_id, attestations, data_classification) beyond the generic terms in the overview. This leaves the agent without the necessary parameter-level insight.

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's function: 'Evaluate synthetic third-party claims against signed attestation envelopes.' It uses a specific verb and resource, and the title reinforces the purpose. Sibling tools like mortgage preflight and FDIC verification are obviously different, so there is no ambiguity.

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?

The description implies usage for synthetic or test scenarios by stating 'Real providers and private-ledger proof adapters are not yet active,' which tells the agent not to use it for real providers. However, it does not explicitly mention alternatives or provide when-to-use versus sibling tools, leaving some inference needed.

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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