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openl-tablets

OpenL MCP Server

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Update Table Range (raw)

openl_update_table_range
Idempotent

Overwrites a rectangular block of cells in a table, anchored at a given row and column. Accepts a 2D array of values to update multiple cells within the existing table boundaries.

Instructions

Overwrite a rectangular RANGE of cells in place, anchored at the top-left ('row','column'), in a table's raw source. 'cells' is a 2D array (rows × that row's cells); the range must cover more than one cell and fit within the table (not resized). For a single cell use openl_update_table_cell. Operates on the table's RAW source, so it works for any table type. Positions are 0-based (row 0 is the header row, column 0 carries the leading labels). An edit that relocates the table (it had no room to grow in place) CHANGES its location-derived id; the response always returns the table's CURRENT id as 'tableId' (plus previousTableId when it changed) — use it for subsequent calls. Note: the studio does not auto-compile after an edit; this tool reads the table back to trigger the recompile, so a subsequent openl_project_status reflects the change.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowYes0-based row index of the top-left cell of the range (0..height-1).
cellsYesBlock rows top to bottom, each a non-empty list of cells left to right. Anchored at ('row','column'); must cover more than one cell and fit within the table (the table is not resized).
columnYes0-based column index of the top-left cell of the range (0..width-1).
tableIdYesTable identifier - unique ID assigned by OpenL Studio (e.g., 'calculatePremium_1234'). VOLATILE: derived from the table's location, so it changes when an edit relocates the table (it had no room to grow in place) — use the 'tableId' returned by the latest openl_update_table/openl_append_table response, or refresh via openl_list_tables().
projectIdYesProject ID returned by backend. Use the exact 'projectId' value from openl_list_projects() response without modification or reformatting.
response_formatNoResponse format: 'json' for structured data, 'markdown' for human-readable (default), 'markdown_concise' for brief summary (1-2 paragraphs), 'markdown_detailed' for full details with contextmarkdown
Behavior5/5

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

Beyond annotations (openWorldHint, idempotentHint), it discloses critical behavior: table ID volatility when relocation occurs, and that the tool triggers a recompile by reading the table back. No contradiction with annotations.

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 informative and front-loaded with the main action. Each sentence adds necessary detail, though slightly lengthy. Well-structured without redundancy.

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, the description explains response contents (current tableId, previousTableId) and side effects (recompile trigger). Covers all key aspects for correct invocation and subsequent steps.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds meaningful context beyond schema: explains 'cells' structure, 0-based indexing, table ID volatility, and project ID usage. Enriches understanding.

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 it overwrites a rectangular range of cells in a table's raw source, anchored at a top-left cell. It explicitly differentiates from the sibling tool openl_update_table_cell for single cells.

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

Usage Guidelines4/5

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

Provides clear constraints (range must cover more than one cell, fit within table) and explicitly recommends openl_update_table_cell for single cells. However, it does not compare with other range-based siblings like openl_update_table.

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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