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dataToTable

Render tabular data as an aligned grid of labelled cells on a whiteboard, deterministically. Pass rows (an array of arrays) OR data (an array of objects), with optional headers; the server lays out evenly-spaced cells so you do NOT place each cell by hand. Use this to turn data, CSV, or JSON into...

SERVERStable Baseline SOURCEhttps://api.stablebaseline.io/functions/v1/cloud-serve/mcp
Low RISK CLASS
Category Read
Parameters 91 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-stablebaseline-sb/datatotable.md

What dataToTable does on Stable Baseline

AI agents call dataToTable to retrieve information from Stable Baseline without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
x number — Top-left x on the canvas. Omit to auto-place below existing content.
y number — Top-left y on the canvas. Omit to auto-place.
data array — Alternative to rows: an array of objects; columns come from headers, or the first object's keys.
rows array — Rows as arrays of cell strings. If headers is omitted, the first row is treated as the header row.
headers array — Optional column headers (rendered as a styled header row). For data, also selects and orders the columns.
cellWidth number — Cell width in px, 60-400 (default 160).
projectId string — Optional. Narrows a friendly-id lookup to one project. Only needed when a friendly id is ambiguous — TAS-/IMP-/PLN- ids are numbered per PROJECT, so the same id
cellHeight number — Cell height in px, 28-200 (default 40).
documentId string Yes The whiteboard's documentId.

Parameters from the server's own tool schema.

Why dataToTable is rated Low

Even though dataToTable only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about dataToTable

What does the dataToTable tool do? +

Render tabular data as an aligned grid of labelled cells on a whiteboard, deterministically. Pass rows (an array of arrays) OR data (an array of objects), with optional headers; the server lays out evenly-spaced cells so you do NOT place each cell by hand. Use this to turn data, CSV, or JSON into a readable table on the board. Returns a compact summary. Auto-places below existing content unless x/y are given. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.

What parameters does dataToTable accept? +

dataToTable accepts 9 parameters: x, y, data, rows, headers, cellWidth, projectId, cellHeight, documentId. Required: documentId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on dataToTable? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for dataToTable: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Stable Baseline. Nothing to install.

What risk level is dataToTable? +

dataToTable is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit dataToTable? +

Yes. Add a rate_limit block to the dataToTable rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block dataToTable completely? +

Set action: deny in the PolicyLayer policy for dataToTable. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides dataToTable? +

dataToTable is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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