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Update Database Row

update_database_row

Batch update cells in an existing AFFiNE database row by specifying column names and values; optionally set the row title and link to a document.

Instructions

Batch update multiple cells on an existing AFFiNE database row. Include title in the cells map to update the Kanban row title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellsYesMap of column name (or column ID) to new cell value. Use `title` for the built-in row title.
docIdYesDocument ID containing the database
rowBlockIdYesRow paragraph block ID
linkedDocIdNoLink this row to an existing doc by ID. The row will open the linked doc in center peek when clicked.
workspaceIdNoWorkspace ID (optional if default set)
createOptionNoFor select and multi-select columns, create the option label if it does not exist (default true)
databaseBlockIdYesBlock ID of the affine:database block
Behavior3/5

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

Annotations already indicate this is a non-read-only, non-destructive operation. The description adds that it is a 'batch update' and mentions title behavior, but does not elaborate on other behavioral aspects such as error handling, permissions, or the createOption default.

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?

Two concise sentences: first states the core function, second provides a specific tip. No unnecessary words or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 7 parameters, nested objects, and no output schema, the description is minimal. It covers the primary purpose but lacks details on return values, error scenarios, or batch behavior, making it only marginally adequate.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema documents each parameter. The description adds value by explaining how to use the 'cells' map for the title, but no additional semantics for other parameters.

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 the tool updates multiple cells on an existing database row, mentioning the specific use of 'title' for Kanban row title. This distinguishes it from siblings like add_database_row or delete_database_row.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like add_database_row or other update tools. No context for when-not-to-use or prerequisites is given.

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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