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onyx_track_record

Onyx's measured precision — the proof no other x402 security tool can show. Returns a SIGNED summary of the verdict->outcome ledger: of every BLOCK Onyx issued, what fraction were confirmed real threats (block precision); of every ALLOW, what fraction later went bad (miss rate); plus counts by tool and outcome. Built from real reported outcomes via onyx_outcome_report. Free and public — this is how you verify Onyx is calibrated, not just confident. (price: $0 USDC, tier: free)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoOptional. Restrict the track record to one tool (e.g. onyx_tx_guard).

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the data source, that results are signed, the key metrics, and pricing/free tier. It doesn't mention authentication or return format details, but for a read-only metrics endpoint this is reasonable transparency.

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?

The description is reasonably compact but contains some marketing fluff ('the proof no other x402 security tool can show', 'not just confident') and redundant pricing mentions ('Free and public' plus '(price: $0 USDC, tier: free)'). The core technical content is front-loaded and clear.

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 the tool's simplicity (one optional parameter) and lack of output schema, the description covers the main return concepts and purpose. It doesn't specify exact JSON structure, but an agent can select and invoke it appropriately; slightly more detail on the signed envelope would improve completeness.

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 only parameter (tool) is fully described in the schema, yielding 100% coverage, so the description adds minimal extra value. The mention of 'counts by tool and outcome' indirectly reinforces the optional filter, meeting the baseline for schema-covered parameters.

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 opens with a specific verb ('Returns') and identifies the exact resource: a signed verdict->outcome ledger summary. It clearly differentiates from sibling security tools by emphasizing calibration verification, not detection or lookup.

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 explicitly frames when to use this tool: to verify Onyx's calibration, and states it is built from onyx_outcome_report. It doesn't name alternative tools for exclusion, but the context is clear enough that an agent would know it's for track-record/calibration questions rather than individual checks.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a specific aspect of security or verification, from agent liveness to token risk to transaction preflight, with clear descriptions that prevent confusion. Even similar-sounding tools like tx_guard and tx_preflight cover distinct scenarios.

Naming Consistency5/5

All tools follow a consistent 'onyx_<descriptive_name>' pattern using snake_case, making it easy to infer purpose from the name. No mixing of styles or conventions.

Tool Count4/5

23 tools is on the higher end but justified by the broad scope of security services offered, covering many distinct verification needs without being excessive.

Completeness5/5

The tool set provides a comprehensive surface for agent security, including pre-payment checks, smart contract audits, token risk, merchant verification, and identity attestation. No obvious missing operations for the stated purpose.