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SShadowS

business-central-mcp

by SShadowS

bc_read_data

Refresh a section of an open Business Central page to get current field values, rows, or factbox data. Ideal for interactive page data retrieval after navigation or filtering.

Instructions

Refreshes a single section on an already-open page. Returns { section: { sectionId, kind, caption, fields?, rows?, actions?, totalRowCount? }, stateVersion }. Card-shape sections (header, factbox, requestPage) refresh their fields[]; list-shape sections refresh rows[]. The returned stateVersion can be passed as expectedStateVersion to bc_write_data / bc_execute_action to reject stale-state writes. Requires a pageContextId from a prior bc_open_page call.

Do NOT use this for bulk or analytical reads over standard entities (customers, items, ledger entries, ...) -- prefer bc_query, which reads server-side via OData with no open page and no UI paging. Use bc_read_data when you need the interactive page's exact rows, factboxes, or option metadata.

Pass section: "header" (default) to refresh the page's header. Pass section: "lines" to refresh document line items. Pass a factbox sectionId (e.g. "factbox:Customer Statistics", as listed in the bc_open_page response) to refresh the FactBox card.

Option/enum and boolean fields in card-shape sections carry "options" (allowed choices as [{text, value}]) and "selectedOption" (current choice). When writing an enum field with bc_write_data, use the "value" string from "options" -- do NOT guess values. Example: after opening Item Card, the "Type" field returns options=[{text:"Inventory",value:"0"},{text:"Service",value:"1"},{text:"Non-Inventory",value:"2"}]; to change to Service, write value "1".

Filtering applies to list-shape sections only. Pass an array of { column, value }; values use BC filter syntax (exact "10000", ranges "10000..20000", wildcards "consulting", expressions ">1000"). Multiple filters combine with AND.

clearFilters: true resets agent-applied filters and restores the page to its default/native filtered state before reading. Note: page-defined SourceTableView filters (set in AL code) remain active -- this does NOT guarantee a completely empty filter set. Use before applying new filters to avoid stacking. Applies to list-shape sections only. Runs before any filters[] in the same call.

Sorting: pass sort: { column, direction } to sort the repeater before reading. Applied server-side after any filters. Resets BC viewport to top of sorted result. "asc" = A-Z / 0-9, "desc" = Z-A / 9-0. The column must be a visible repeater column on the section. Non-sortable columns (FlowFields, BLOBs) may be rejected by BC with an error. Applies to list-shape sections only.

Column selection: pass columns: ["No.", "Name"] to limit the cells in each row, or the fields[] entries on a card section.

Range slicing: { offset, limit } returns rows[offset..offset+limit] for list sections. Use with totalRowCount for pagination.

Examples:

  • Refresh header: { "pageContextId": "abc" }

  • Filter customer list: { "pageContextId": "abc", "filters": [{ "column": "City", "value": "London" }] }

  • Sort by Name ascending: { "pageContextId": "abc", "sort": { "column": "Name", "direction": "asc" } }

  • Sort by Name descending: { "pageContextId": "abc", "sort": { "column": "Name", "direction": "desc" } }

  • Filter and sort: { "pageContextId": "abc", "filters": [{ "column": "City", "value": "London" }], "sort": { "column": "Name", "direction": "asc" } }

  • Clear filters and re-read: { "pageContextId": "abc", "clearFilters": true }

  • Clear and re-filter: { "pageContextId": "abc", "clearFilters": true, "filters": [{ "column": "City", "value": "London" }] }

  • Read sales order lines: { "pageContextId": "abc", "section": "lines" }

  • Refresh a FactBox: { "pageContextId": "abc", "section": "factbox:Customer Statistics" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tabNoTab name to filter header fields by (e.g., "General", "Invoice Details", "Shipping and Billing"). Omit to return all header fields.
sortNoSort the repeater by a column before reading. Applied after filters, resets BC viewport to top of sorted result. Applies to list-shape sections only. Non-sortable columns (FlowFields, BLOBs) may be rejected by BC.
rangeNoSlice a subset of repeater rows. Returns rows[offset..offset+limit]. Use with totalRowCount for pagination.
columnsNoColumn caption names to include in results. Omit to return all columns. Reduces output size.
filtersNoServer-side filters to apply before reading. Multiple filters combine with AND logic.
sectionNosectionId to refresh. Defaults to "header". Examples: "lines" (document line items), "factbox:Customer Statistics" (FactBox). Listed in the bc_open_page sections array.
clearFiltersNoClears agent-applied filters and restores the page to its default/native filtered state. Page-defined SourceTableView filters (set in AL code) remain active — this is NOT a guaranteed blank filter set. Use before applying new filters to avoid stacking. Applies to list-shape sections only.
pageContextIdYesPage context ID returned by bc_open_page.
Behavior5/5

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

No annotations provided, so description carries full burden. It thoroughly discloses return shape (section with fields/rows, stateVersion), behavior differences between card and list sections, filtering/sorting/clearFilters nuances, and limitations like SourceTableView filters remaining active. StateVersion usage for stale-state rejection is clearly explained.

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?

Description is well-structured with clear sections and examples, but it is quite lengthy. While every part adds value, some redundancy exists (e.g., filter syntax repeated in schema and description). Front-loaded with core purpose, but could be slightly more concise.

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?

Given no output schema, description adequately explains return values, all parameters, prerequisites, and error conditions (non-sortable columns). Includes practical examples covering common use cases. Covers all necessary aspects for correct tool invocation.

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%, but description adds substantial context beyond schema: default section='header', how options work for enum fields, filter syntax, sorting details, clearFilters caveats. This significantly aids correct parameter usage.

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?

States exactly what the tool does: 'Refreshes a single section on an already-open page.' Clearly distinguishes from sibling tools like bc_query and bc_write_data by specifying when to use each.

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 explicit when-to-use and when-not-to-use guidance: 'Do NOT use this for bulk or analytical reads... prefer bc_query' and 'Use bc_read_data when you need the interactive page's exact rows, factboxes, or option metadata.' Also notes prerequisite of pageContextId from bc_open_page.

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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