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business-central-mcp

by SShadowS

bc_query

Fetches large sets of Business Central records via OData with server-side filters, sorting, and field selection. Returns structured data directly, avoiding UI navigation and reducing data transfer.

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. Auth: on-prem NavUserPassword uses HTTP Basic; BC Online (SaaS) uses device-code — when sign-in is needed the tool returns DEVICE_LOGIN_REQUIRED with a verification URL and code to show the user, and a retry after they sign in runs the query. bc_query does not need a /csh WebSocket session and does not open the SaaS sign-in window.

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".
Behavior5/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It explicitly states the tool is read-only, describes the auth flow (Basic auth for on-prem, DEVICE_LOGIN_REQUIRED for SaaS), explains the default top=100, and notes company-scoping with the special exception for the 'companies' entity. It also warns that $expand increases response size. This is thorough and transparent.

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?

Despite being lengthy, the description is tightly organized with clear topic headers and no filler. Each sentence adds distinctive value: core functionality, entity list, parameter guidance, auth notes, and exclusions. The front-loading of purpose and the structured sections make it easy to scan.

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?

The tool is complex with 7 parameters and many integration details, but the description covers all essentials: what it reads, how filtering/projection work, entity naming, auth modes, default behavior, sibling alternatives, and the one special-case entity. It even addresses pagination via the top parameter. The absence of an output schema is mitigated by the clear 'reads records' semantics.

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?

Although schema coverage is 100%, the description enriches each parameter with concrete OData syntax examples and operational semantics (e.g., 'top defaults to 100 if omitted', 'pass company to target a specific company'). It goes well beyond the schema's simple field explanations, making the parameter usage immediately actionable.

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 opens with a specific verb and resource: 'Reads records from Business Central in bulk using the Standard API v2.0 (OData/REST on port 7048).' It distinguishes from siblings by explicitly stating it is more efficient than bc_open_page + bc_read_data for bulk reads and by noting it does not use a WebSocket session. This leaves no ambiguity about what the tool does.

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 contains dedicated 'When to use' and 'When NOT to use' sections. It names specific alternatives for UI flows (bc_open_page + bc_execute_action) and mutations (bc_write_data and bc_execute_action), and even points to bc_list_companies for company discovery. This is exemplary guidance for tool selection.

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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