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Zenskar MCP Server

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by zenskar

createAccount

createAccount

Create a new General Ledger account with name, category, and optional description and custom data for your accounting system.

Instructions

Create a new accounting (GL) account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the account.
account_categoryYesCategory of account. Valid values: 'Assets', 'Liabilities', 'Equity', 'Income', 'Expenses'.
descriptionNoDescription of the account.
custom_dataNoCustom data object for the account.
__userContextNoInternal user context for multi-tenant authentication and approval workflow
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing side effects, permissions, or constraints. It only states 'Create a new accounting (GL) account', omitting details about required authorization, potential duplicates, or any immutable properties. This is insufficient for a mutation tool.

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 description is a single, front-loaded sentence with no redundancy. It efficiently conveys the core action, though it could be slightly expanded without losing conciseness.

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

Completeness2/5

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

The tool has 5 parameters including a nested '__userContext' object and no output schema. The description fails to explain return behavior, error cases, or the impact of the '__userContext' fields. This leaves significant gaps for correct invocation.

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 schema descriptions provide 100% coverage of all 5 parameters, including valid values for 'account_category' and details for '__userContext'. The description adds no extra parameter information, but per the rule, baseline is 3 for high schema coverage.

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 clearly states the verb 'Create' and the resource 'accounting (GL) account', making the purpose immediately understandable. However, it does not differentiate from sibling tools like 'createAggregate' or 'createContact', which also create different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as 'listAccounts' or 'getChartOfAccounts'. The description lacks context about prerequisites or typical workflows, making it hard for an agent to decide when to invoke this tool.

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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