Onplana

bulk_create_workspace_rows

Append many rows to a workspace list (table) in one call, where create_workspace_row appends a single row per call. rows is an array, each entry a map of columnId to value (string|number|boolean|null); a row may omit any column. Unknown column ids are refused. Limits per call: 200 rows and 3000 cells in total, whichever is reached first, so a wide list takes fewer rows per call than a narrow one. Rows are appended in the order given, and the whole batch lands or none of it does.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tableId": "<tableId>",
      "rows": "<rows>"
    },
    "name": "bulk_create_workspace_rows"
  }
}

Input Schema

Name	Required	Description	Default
`rows`	Yes	Each entry is one row, as a map of columnId -> value.
`tableId`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 19, 2026

TDQS

A4.7/5.0

Behavior5/5

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

Goes well beyond the annotations: unknown column ids are refused, per-call limits of 200 rows and 3000 cells (whichever hits first, with the wide-vs-narrow list implication), append order is preserved, and the batch is atomic ('the whole batch lands or none of it does'). Annotations only supply the generic write/non-idempotent/non-destructive profile, and nothing here contradicts them.

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?

Front-loads the purpose and the sibling contrast, then packs value-format, validation, limits, ordering, and atomicity into tight clauses with no filler. Every sentence carries distinct operational information.

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?

For a 2-param, no-output-schema tool, the description covers validation, limits, ordering, and atomicity — the traits an agent needs to call it safely. It omits what the call returns (e.g., created row ids) and any permission prerequisites, which is a minor but real gap.

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 only 50% (tableId undocumented), and the description compensates thoroughly for the opaque `rows` array: each entry is a map of columnId to value with types (string|number|boolean|null), columns may be omitted, and unknown column ids are rejected. This adds substantial meaning beyond the schema's terse 'map of columnId -> value'.

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?

Specific verb+resource ('Append many rows to a workspace list (table) in one call') with explicit contrast to the single-row sibling create_workspace_row, so an agent can route between the two without opening schemas. The parenthetical '(table)' disambiguates the resource name.

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?

The description explicitly frames the alternative ('where create_workspace_row appends a single row per call'), making the bulk-vs-single choice clear. It stops short of stating when not to use it (e.g., updates should use update_workspace_row, or that it only appends and cannot modify existing rows).

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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