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OMENZ agent tools

ledger_create

Agent Job Ledger: open an append-only, hash-chained record for one job (tool calls, spend, receipts, handoffs, failures, outputs, status). Returns ledger_id + ledger_key (shown once). Kept 90 days. By OMENZ. (MCP calls run in AYNE, the free playzone; production: POST https://www.omenz.org/api/tollbooth/v1/ledger/create, $0.002 via x402.)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ledger_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idNo
objectiveNo
x_ledger_keyNothe key returned by create (sent as a header on HTTP)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the append-only/hash-chained nature, that the key is shown once, 90-day retention, and pricing ($0.002 via x402) plus the production endpoint. It stops short of saying whether the key is required on later calls or what happens if optional parameters are omitted.

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?

Front-loaded with purpose and return values, which is the right order. The vendor tagline and the AYNE/x402/URL/appendix are dense but mostly functional for cost and endpoint awareness; the 'By OMENZ' attribution is the only clearly wasted clause.

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?

No output schema exists, so the description correctly supplies the return contract (ledger_id + ledger_key, shown once) and the retention window. For a creation/mutation tool with zero annotations this is close to adequate, with the main remaining gap being the key/session lifecycle for subsequent calls.

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?

Schema coverage is only 33% — just x_ledger_key is described. The description implies the returned ledger_key is that header value and that the record is scoped to a job, but job_id and objective are left unexplained in both schema and prose (objective in particular is opaque).

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 gives a specific verb and resource — 'open an append-only, hash-chained record for one job' — and enumerates what the ledger captures (tool calls, spend, receipts, handoffs, failures, outputs, status). It is distinguishable from ledger_append/ledger_get by the 'open' framing, though it never names a sibling explicitly.

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?

Usage is only implied: creating the ledger is clearly the prerequisite step before appending, but the description never states when to use this versus ledger_append or ledger_get, nor whether job_id/objective are expected at creation time. A brief 'call this first, then append with the returned key' line is absent.

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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