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OMENZ agent tools

market_reliability

Micropayment Reliability Score: should your agent trust this paid endpoint? 0-100 + grade with every reason: public 30-day usage, answering now with valid x402 requirements, speed, live price vs listed price, payTo vs listed payTo (catches swapped wallets). Never pays. By OMENZ. (MCP calls run in AYNE, the free playzone; production: GET https://www.omenz.org/api/tollbooth/v1/market/reliability, $0.002 via x402.)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "market_reliability"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes
methodNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries real weight: it discloses that the tool never pays, what signals it evaluates (including payTo comparison to catch swapped wallets), and the cost model (free in the AYNE playzone, $0.002 via x402 in production). Missing pieces are whether it actively probes the target endpoint and any rate limits, which matters since it evidently makes outbound calls.

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 purpose and scoring criteria are front-loaded in a dense but readable opening, and the parenthetical production-endpoint detail is genuinely useful routing context. Minor drag from marketing framing ('By OMENZ') and the run-on colon chain.

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

Completeness3/5

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

For a two-parameter read-only tool with no annotations and no output schema, the behavioral picture is reasonably complete, but the lack of any parameter explanation leaves the definition short of what an agent needs to call it correctly. The method argument in particular is an unexplained gap.

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% across two parameters, so the description must compensate and largely does not. The 'url' input is only obliquely implied by 'this paid endpoint', and the 'method' parameter is never mentioned at all, leaving an agent to guess what it controls.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and output: a 0-100 reliability score plus grade for a paid endpoint, with enumerated criteria (30-day usage, live x402 requirements, speed, price drift, payTo mismatch). That is far beyond a restated name. It stops short of 5 because it never says how it differs from adjacent siblings like agent_ready or market_price_index, so an agent must infer the split.

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?

'Should your agent trust this paid endpoint?' plus 'Never pays' implies the use case: vet an endpoint before spending against it, and the check itself is free of charge. However, there is no explicit when-to-use versus when-not framing and no named alternative such as market_find for discovery.

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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