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Read Database Cells

read_database_cells
Read-onlyIdempotent

Retrieve row titles and cell values from an AFFiNE database block. Filter by columns or row blocks to get specific data for analysis.

Instructions

Read row titles and database cell values from an AFFiNE database block.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docIdYesDocument ID containing the database
columnsNoOptional column name or ID filter.
rowBlockIdsNoOptional row block ID filter. Omit to return all rows.
workspaceIdNoWorkspace ID (optional if default set)
databaseBlockIdYesBlock ID of the affine:database block

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the agent knows this is a safe read operation. The description adds no additional behavioral context beyond the purpose itself, with no mention of filters, return format, or side effects.

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?

The description is a single sentence that is front-loaded with the verb and resource. No wasted words, perfectly 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?

The tool is a straightforward read operation with a rich schema (100% coverage), comprehensive annotations, and an output schema present. The description, while brief, is complete enough given the structured fields already convey filtering details and expected outputs.

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%, with each parameter clearly documented (e.g., rowBlockIds 'Optional row block ID filter. Omit to return all rows.'). The description adds no extra parameter meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 reads row titles and cell values from an AFFiNE database block, using the specific verb 'Read' and identifying the resource. It distinguishes from sibling tools like read_database_columns by explicitly mentioning cell values and row titles.

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 implies clear usage: it is for reading database cell values. It does not explicitly name alternatives or exclusions, but the distinction between this tool and read_database_columns is contextually evident. Lacks explicit 'when not to use' guidance.

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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