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agent_visibility_audit

Audit how discoverable an x402 agent/seller is across the agent registries (CDP Bazaar, 402index): keyword-RELEVANCE rank per category (not raw settled-volume rank), a metadata-quality score of your advertised endpoints (schema, output.example, tags, llm_usage_prompt), settle activity, a top-3 benchmark, prioritized fixes, and a DELTA vs a signed snapshot you carry back. Why am I not being found and how do I climb? GEO/AEO discovery audit for x402 sellers, Ed25519-signed. Price: $1.00 per call (x402 payment, USDC on Base mainnet).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sellerYesSeller to audit: wallet (0x + 40 hex or Solana base58) or origin URL/domain, e.g. 'api.example.com'
snapshotNoOptional: the signed_snapshot JSON from a previous audit, to compute a dated delta

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 carries the full burden. It discloses key behavioral traits: it is a paid call ($1.00, x402, USDC on Base), returns multiple components (rank, metadata quality score, settle activity, fixes, delta), uses Ed25519 signing, and explains the snapshot mechanism. It does not cover error handling (e.g., seller not found) or rate limits, but for a read-only audit tool, the transparency is above average.

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 a dense, single paragraph with multiple clauses, parentheticals, and a final question. It packs valuable information but lacks clear structure and is somewhat verbose. It could be split into shorter sentences for easier parsing. Every sentence earns its place, but the overall conciseness is average.

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 no output schema and no annotations, the description does a good job of explaining what the tool returns: keyword-RELEVANCE rank, metadata-quality score, settle activity, top-3 benchmark, prioritized fixes, and delta. It also includes cost, signing, and the audit's focus. It omits explicit error handling or response format specifics, but for an audit tool, the description is fairly complete.

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 covers 100% of parameters with descriptions, so the baseline is 3. The description adds marginal context by explaining that the 'snapshot' parameter is a signed snapshot from a previous audit used to compute a delta, but this is largely reinforced by the schema description. Thus, the description adds little 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's purpose: an audit of x402 agent/seller discoverability across agent registries (CDP Bazaar, 402index). It uses a specific verb ('Audit') and specifies the resource and scope, and it distinguishes itself from the sibling agent_rank_check by emphasizing 'keyword-RELEVANCE rank per category (not raw settled-volume rank)' and the inclusion of a delta vs a signed snapshot.

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 usage context: use this when you want to understand why you're not being found and how to improve visibility, as opposed to a simple rank check. It highlights the 'Why am I not being found and how do I climb?' use case and contrasts its ranking methodology with raw volume ranking, but it does not explicitly name alternative tools or provide 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

A3.9/5.0
Disambiguation3/5

There is notable overlap between crypto_pre_trade_verdict and solana_pre_trade, both providing pre-trade decisions for Solana. The agent_rank_check and agent_visibility_audit are also similar in purpose but differentiated by depth. However, descriptions are detailed enough to clarify the intended use, so ambiguity is moderate.

Naming Consistency4/5

Tool names consistently use snake_case and often include domain prefixes like crypto_, solana_, and agent_. Minor deviations exist, such as solana_pre_trade lacking the 'verdict' suffix seen in crypto_pre_trade_verdict, and standalone names like gleif_lei and polymarket_odds that don't follow a domain-prefix pattern. Overall, the style is predictable and readable.

Tool Count5/5

With 10 tools, the server is well-scoped within the ideal 3-15 range. Each tool serves a distinct purpose or tier (e.g., quick check vs. deep audit), and the count feels appropriate for a multi-purpose utility server without being overwhelming or sparse.

Completeness3/5

The server covers several domains, but each has gaps. For example, there is no dedicated wallet address sanctions screening tool (only fused into crypto_pre_trade_verdict), no token price or market data tool outside of the dossier, and no agent search or listing functionality. However, the core risk-check workflows (token safety, pre-trade, agent visibility) are reasonably well-covered with both quick and detailed tiers.