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onyx_ecosystem_intel

Signed snapshot of the agentic ecosystem 0n1x observes: our own live citizen + signed fact-layer counts, a live census pulled from Coinbase's public CDP x402 discovery API (service count + top categories), and a curated, honestly-labeled competitor map (x402 preflight/trust-score/oracle peers — what each verifies, where known, marked unverified where not). One call to understand who's live and where 0n1x sits. Free tier, Ed25519-signed, observed_at dated. (price: $0 USDC, tier: free)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
census_limitNoHow many CDP discovery entries to sample for the census (top categories).

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description must disclose behavioral traits. It reveals that the tool returns a signed, dated snapshot, sourced from Coinbase's public API, and is free. It also notes that the competitor map is 'honestly-labeled' with unverified items marked. These details go beyond a basic description, though it doesn't discuss error handling or rate limits.

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 densely packed, with the core content in one long sentence. It front-loads the purpose and provides useful details, but it suffers from redundancy: 'Free tier' and '(price: $0 USDC, tier: free)' repeat the same information. It is not minimal but each element adds some value except the duplication.

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?

Without an output schema, the description carries the responsibility of explaining what the tool returns. It lists the main output components (own counts, census with service count and top categories, competitor map with verification details) and highlights signing and pricing. While it lacks exact field names or structural examples, the description gives an agent sufficient understanding to invoke the tool correctly.

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 input schema fully documents the single parameter census_limit, including a description, default, min, and max. The tool description does not add new parameter semantics beyond what the schema already provides, so the baseline score of 3 applies.

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 purpose: to provide a signed snapshot of the agentic ecosystem, including live counts, a census from Coinbase's CDP x402 API, and a competitor map. It uses specific verbs like 'snapshot' and 'understand' and distinguishes itself from sibling tools by positioning it as a one-call overview of who's live and where 0n1x sits.

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 description implies a clear use case: 'One call to understand who's live and where 0n1x sits.' It conveys when to use this tool (for ecosystem-level intel) but does not explicitly contrast it with sibling tools or mention alternatives for more granular checks. This is clear context without exclusions.

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.