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OMENZ agent tools

finance_forecast

Agent Budget Forecaster: spend history -> daily rate, next 7/30-day projection, trend, biggest dependencies. Deterministic; never pays a target. By OMENZ. (MCP calls run in AYNE, the free playzone; production: POST https://www.omenz.org/api/tollbooth/v1/finance/forecast, $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": "finance_forecast"
  }
}

Input Schema

NameRequiredDescriptionDefault
spendNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavior burden and does well: it declares determinism, states it never pays a target (no side effects on funds), gives a concrete output shape (daily rate, 7/30-day projections, trend, biggest dependencies), and discloses deployment and per-call pricing. It omits error/limits behavior and any input format expectations.

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 purpose and output list are front-loaded and dense. However, the trailing sentence spends substantial length on deployment/payment boilerplate (AYNE playzone, production URL, x402 price) and an attribution ('By OMENZ') that is not needed to select or invoke the tool; some of this is useful cost context, but it is not tightly written.

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 low-complexity, one-parameter tool with no output schema, the description adequately explains what comes back and reassures that it is deterministic and non-paying. The real gap is the input side: nothing in the schema or description defines what 'spend' must look like, and there is no guidance on failure modes or result interpretation.

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 single parameter 'spend' has an empty schema with 0% description coverage, so the description must compensate. Calling it 'spend history' usefully signals it expects historical records rather than a scalar budget, but it gives no format, granularity, currency, or time-window hints, leaving the agent guessing about the actual payload.

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?

States a concrete verb and resource: it forecasts agent budget spend, converting spend history into a daily rate, 7/30-day projections, trend, and top dependencies. That is materially more specific than a name restatement. It does not name or distinguish itself from siblings like finance_snapshot or finance_watchdog, so it stops short of 5.

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 by the 'spend history -> projection' framing; an agent can infer it should call this when it wants forward-looking budget estimates. There is no explicit when-to-use, when-not-to-use, or alternative-tool routing (e.g., versus finance_snapshot for current state).

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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