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SynderAccounting

gl-importer

Official

update_settings

Idempotent

Update import settings for a company with incremental patches. Provide only the fields to modify to avoid overwriting unrelated settings.

Instructions

Updates per-company import settings. Pass only the fields you want to change inside 'settings' (e.g. { dateFormat: 'dd/MM/yyyy' }). Fetch current values with get_settings first so you don't clobber unrelated fields. Returns the updated settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdYesCompany id from list_companies.
settingsYesSettings patch. Common fields: dateFormat ('MM/dd/yyyy' | 'dd/MM/yyyy' | 'yyyy-MM-dd'), incrementDocNumber, createMissingProducts, createMissingAccounts, skipDuplicates.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateFormatNoDate parse format.
incrementDocNumberNo
createMissingProductsNo
createMissingAccountsNo
skipDuplicatesNo
Behavior4/5

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

Annotations already declare idempotentHint=true and not destructive, but the description adds valuable context like the partial update pattern and that it returns updated settings. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The purpose is front-loaded, and every sentence adds critical information.

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

Completeness5/5

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

For a tool with nested objects and 2 parameters, the description covers the partial update pattern, references get_settings, mentions return value, and lists common fields. Output schema exists, so no need to detail return format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds meaning by explaining the patch pattern with an example (e.g., dateFormat) and listing common fields, going beyond the schema's generic description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Updates per-company import settings,' clearly identifying the verb (updates) and resource (import settings). It distinguishes from siblings like get_settings, which is referenced as the read-only counterpart.

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

Usage Guidelines5/5

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

Provides clear guidance: 'Pass only the fields you want to change inside settings' and 'Fetch current values with get_settings first so you don't clobber unrelated fields.' This explicitly states when to use and what to avoid.

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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