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SShadowS

business-central-mcp

by SShadowS

bc_query

Read records from Business Central in bulk using OData queries with server-side filtering, sorting, and field selection. Ideal for fetching large datasets efficiently without UI interaction.

Instructions

Reads records from Business Central in bulk using the Standard API v2.0 (OData/REST on port 7048). Use bc_query for efficient server-side filtered, sorted, and projected reads over many records — for example, fetching all open sales orders, listing customers in a city, or pulling G/L entries for a date range. This is far more efficient than using bc_open_page + bc_read_data for bulk reads because filtering and projection happen on the server before any data is transferred.

When to use bc_query: structured data retrieval over standard BC entities, when you need 2+ records with specific field selection, when you want server-side filter/sort/OData operators ($filter, $select, $top, $orderby, $expand), or when you need to inspect a large dataset without driving the BC UI. Entity names are BC Standard API v2.0 names (camelCase): customers, vendors, items, salesOrders, salesInvoices, purchaseOrders, purchaseInvoices, generalLedgerEntries, accounts, journals, journalLines, companies, employees, dimensions, dimensionValues, currencies, paymentTerms, shipmentMethods, paymentMethods, countriesRegions, unitsOfMeasure, taxGroups, contacts. Pass filter as OData $filter syntax (e.g., "city eq 'London'", "amount gt 1000", "postingDate ge 2024-01-01"). Pass select as comma-separated field names (e.g., "number,displayName,city") to limit response size. top defaults to 100 if omitted — pass explicitly to get more or fewer rows. Queries are company-scoped automatically; pass company to target a specific company (see bc_list_companies). The special "companies" entity is the one exception — it is the top-level environment list (not company-scoped), so the company parameter is ignored for it; query it to discover available companies.

When NOT to use bc_query: do not use for UI-driven flows (navigating pages, clicking buttons, filling forms — use bc_open_page + bc_execute_action for those). Do not use bc_query for posting, writing, or triggering BC business logic — OData reads are read-only; use bc_write_data and bc_execute_action for mutations. Do not use for custom/extension entities not in the Standard API v2.0 — those require the UI WebSocket tools. Note: this env uses HTTP Basic auth (NavUserPassword); cloud/SaaS BC requires OAuth — set BC_ODATA_URL and configure OAuth externally for cloud envs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMaximum number of rows to return. Defaults to 100 if omitted to prevent accidental full-table scans. Pass explicitly to get more rows.
entityYesBC Standard API v2.0 entity name (camelCase). Examples: customers, vendors, items, salesOrders, salesInvoices, purchaseOrders, generalLedgerEntries, accounts, companies, employees. See BC Standard API docs for the full list.
expandNoOData $expand for related entities. Examples: "salesLines", "customer($select=displayName)". Use sparingly — expanded entities increase response size significantly.
filterNoOData $filter expression for server-side filtering. Examples: "city eq 'London'", "amount gt 1000", "postingDate ge 2024-01-01 and postingDate le 2024-12-31", "contains(displayName, 'Contoso')". Applied by BC before returning data.
selectNoComma-separated OData $select field names to limit response size. Examples: "number,displayName,city", "id,amount,postingDate". Omit to return all fields.
companyNoOverride the BC company name for this query. Defaults to the server-configured company (BC_ODATA_COMPANY or first available company). Use when querying a specific company in a multi-company BC environment.
orderbyNoOData $orderby expression. Examples: "displayName asc", "postingDate desc", "amount desc,number asc".
Behavior4/5

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

With no annotations, the description covers behavioral traits: read-only nature ('OData reads are read-only'), authentication (HTTP Basic auth), default row limit (top=100), and company-scoping exception for 'companies'. It does not mention rate limits but overall provides good insight beyond the schema.

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 well-structured: starting with purpose, then usage guidelines, then parameter details, then notes on authentication. It is somewhat long but every sentence adds value, and it avoids redundancy.

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

Completeness4/5

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

Given the absence of an output schema, the description implicitly indicates return format (matching records) and mentions response size considerations. However, it does not cover error handling or potential OData pagination mechanisms. Overall, it is mostly complete for a bulk query tool.

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?

Despite 100% schema coverage, the description adds significant value with OData syntax examples for filter and select, default behavior for top, and guidance on expand and orderby. It integrates parameter usage with real-world patterns, going beyond the schema's base descriptions.

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 clearly states the tool reads records from Business Central in bulk via the Standard API v2.0. It provides specific verb and resource, and distinguishes itself from siblings like bc_open_page + bc_read_data by emphasizing efficiency for bulk reads.

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?

The description explicitly lists use cases (e.g., fetching open sales orders, filtering by city) and non-use cases (UI-driven flows, mutations). It gives alternatives: use bc_open_page + bc_execute_action for UI, bc_write_data for writes.

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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