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Учебный план выпуска: заказы, партии и ограничения

simulate_production_plan
Read-only

Synthetic read-only single-line production scenario. Reconciles demand, FEFO-eligible stock, 50 kg batches, raw input and shift minutes; explains unmet demand. Not a real factory plan, forecast or authorization.

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": "simulate_production_plan"
  }
}

Input Schema

NameRequiredDescriptionDefault
rawKgNo
cutletsKgNo
sausagesKgNo
pepperoniKgNo
minShelfDaysNo
shiftMinutesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior: the scenario is synthetic, single-line, constrained to 50 kg batches and shift minutes, and it reports unmet demand rather than silently dropping it. It stops short of saying whether all inputs default to zero and what the output shape looks like.

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?

Two sentences, front-loaded with the scenario type and followed by the reconciliation scope and the disclaimer. Dense but efficient; the semicolon-chained middle clause is the only place where readability suffers.

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 six-parameter, all-optional tool with no output schema, the description covers the modeling philosophy and one return behavior (unmet demand explanation). It omits the default semantics of zero-valued optional inputs and the per-parameter meanings, which leaves an agent guessing on the most consequential invocation details.

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%, so the description must carry the meaning of all six parameters, and it only gestures at them: 'raw input' loosely maps to rawKg, 'shift minutes' to shiftMinutes, and 'demand' to the three product kilograms fields, but the three product names, their units and the role of minShelfDays are never stated. An agent can guess but cannot be confident about which field controls FEFO eligibility.

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 action set: reconciles demand against FEFO-eligible stock, 50 kg batches, raw input and shift minutes, and explains unmet demand. That is far more informative than the title alone, though it never names the tool's domain object (production plan) explicitly in a way that maps to sibling tools, which are unrelated portal tools.

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 implied by 'Synthetic read-only single-line production scenario', and the closing 'Not a real factory plan, forecast or authorization' functions as a clear exclusion telling the agent when not to rely on the result. There is no explicit statement of when to call this rather than any alternative, so guidance is present but only implied.

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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