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Create Utility Company

create_utility_company

Use this when working with RetailHardHat field_operations records in the connected organization. Create a utility provider. No change occurs until a human approves the exact request in Settings > MCP and execute_approved_action is called. MCP approval requirements are configurable by the organization administrator; business workflow approvals always apply.

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": {
      "data": "<data>"
    },
    "name": "create_utility_company"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataYes

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare a non-read-only, non-idempotent, non-destructive write, so the safety profile is covered. The description adds genuinely non-obvious behavior that annotations cannot express: the call is staged, nothing mutates until a human approves in Settings > MCP and execute_approved_action runs, and org-configurable approval rules apply. It stops short of saying whether repeated calls queue duplicates or what a staged call returns, but the deferred-approval disclosure is a strong addition.

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?

It is short and the approval mechanism is stated clearly, but the actual purpose ('Create a utility provider') is buried in sentence two behind generic boilerplate. That leading sentence consumes prime front-loaded space without telling the agent what the tool does.

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?

An output schema exists, so return values need not be described, and the approval lifecycle is well covered. What remains missing is meaningful for a create operation whose schema is a nested object with zero field documentation: no indication of required fields, the utility type enum, or whether notes/contact fields are optional.

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% and the single 'data' parameter is a nested object with eight properties, including a required name and a utilityType enum (gas/water/sewer/electrical/telecom). The description says nothing about any field, so an agent must open the schema to learn that name and utilityType are mandatory or that the enum exists — a real gap for a create tool.

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 second sentence states a specific verb and resource ('Create a utility provider'), which cleanly separates it from siblings like create_utility_connection, delete_utility_company, and update_utility_company. The opening sentence is generic product-context boilerplate ('RetailHardHat field_operations records') that adds no distinguishing information beyond the one clear line.

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?

It implies the context ('when working with ... field_operations records') and names the approval path via execute_approved_action, which is genuinely useful routing. However, there is no when-not guidance, no mention of checking for an existing provider via list_utility_companies before creating, and no stated prerequisites for the connected organization.

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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