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commerce_operator_audit

Read-onlyIdempotent

Should you trust this Commerce Payments operator? — Commerce Payments flows are DRIVEN by an operator — it authorizes escrow, captures for merchants and takes the fees. This audits one before you rely on it: 90-day volumes, fees taken, capture-vs-reclaim record (missed capture windows = merchants left unpaid), distinct payers and merchants. verdict: healthy_operator / mixed / sloppy_operator / no_activity. No other tool reads this new Base commerce protocol. Required input: operator. Priced $0.05 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operatorYesOperator address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe result payload. Shape is service-specific; every field is documented in the tool description.
serviceNoThe service id that answered.
checkedAtNoISO-8601 timestamp of when the underlying reads were taken.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / properties / data / description
      Previous value: -"The result payload. Shape is service-specific; every field is documented in the service description above."New value: +"The result payload. Shape is service-specific; every field is documented in the tool description."
  2. Changed1 schema field changed
    • removedOutput schema / required
      Removed value: -[
      -  "data"
      -]
  3. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already indicate readOnly, openWorld, idempotent, and non-destructive behavior. The description adds substantial behavioral context beyond that: it defines the exact verdict range, the data sources considered (90-day volumes, fees, capture-vs-reclaim), pricing ($0.05 per call, free tier), auth requirements (prepaid x-credit-token header, no wallet/API key), and that it reads a unique protocol.

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 dense but well-organized: purpose and key metrics come first, followed by verdict, uniqueness, input, and pricing/auth details. It is longer than minimal but every sentence contributes useful information. A slight structural improvement would be separating pricing/auth from the core audit behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a single required parameter, a simple address schema, rich annotations, and an output schema, the description covers all necessary context: what is audited, what verdict to expect, unique protocol access, input requirements, pricing, and access credentials. An agent has everything needed to select and invoke this tool correctly.

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

Parameters4/5

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

The schema already documents the single required parameter as an 'Operator address' with 100% coverage. The description adds context by explaining that the operator is a Commerce Payments operator, not a generic address, and clarifies the required input. This is meaningful semantic enrichment 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 opens with a clear question ('Should you trust this Commerce Payments operator?') and then specifies exactly what the tool does: audits an operator's 90-day volumes, fees taken, capture-vs-reclaim record, and distinct payers/merchants, returning a verdict. It also explicitly differentiates itself with 'No other tool reads this new Base commerce protocol.'

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 clearly states when to use the tool: before relying on a Commerce Payments operator, because the operator drives authorization, capture, and fees. It also asserts uniqueness among all tools ('No other tool reads this new Base commerce protocol'), which strongly implies when not to use alternatives, though it does not name explicit sibling tools or provide detailed exclusion criteria.

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

A3.6/5.0
Disambiguation2/5

Despite excellent per-tool descriptions, the set contains many near-overlapping tools: rug_score, batch_risk, pre_trade_gate, and deep_dd all assess token risk; wallet_portfolio, wallet_networth, and wallet_tokens all list balances; b20_safety, b20_gate, and b20_dossier overlap heavily; url_extract, web_extract, ai_extract, and url_to_json also blur boundaries. An agent would struggle to consistently pick the right tool without reading every description.

Naming Consistency4/5

Naming is overwhelmingly consistent snake_case verb_noun (token_price, rug_score, address_trust, file_convert, safe_to_send). Minor deviations: noun-only names like holders, basename, deep_dd, business_days, and new_tokens, plus the abbreviation deep_dd, slightly break the pattern.

Tool Count1/5

137 tools is far beyond the 50+ extreme-mismatch threshold. Even as a marketplace bazaar, this is an enormous, unwieldy surface where many tools overlap and each contributes only a sliver of unique value.

Completeness4/5

For the apparent purpose — a pay-per-call bazaar covering on-chain analysis, wallet intelligence, token due diligence, plus generic text/web/finance utilities — the surface is extensive and covers most read-only workflows with few dead ends. Minor gaps exist (no historical price series, no swap execution, no true on-chain write actions), but the set is not severely incomplete for its stated niche.

Resources