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add_database_entries

Add multiple entries to a Notion database in a single batch operation using a simple key-value format, with partial failures not blocking the entire batch.

Instructions

Create multiple entries in a database in one call. Each entry uses the same simple key-value format as add_database_entry. Returns per-entry results — partial failures don't block the batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesDatabase ID
entriesYesArray of property objects, same format as add_database_entry
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: it's a write operation ('Create'), handles multiple entries in a batch, uses a specific format, and supports partial failures without blocking. However, it lacks details on permissions, rate limits, or error handling, leaving some behavioral aspects unclear for a mutation tool.

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 highly concise and well-structured in two sentences: the first states the purpose and format, and the second explains the return behavior. Every sentence adds critical information without waste, making it easy to parse and front-loaded with key details.

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?

Given the tool's complexity as a batch mutation with no annotations and no output schema, the description is moderately complete. It covers purpose, format reference, and partial failure handling, but lacks details on output values, error responses, or side effects. For a write tool with 2 parameters, this is adequate but leaves gaps in full contextual understanding.

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 already documents both parameters ('database_id' and 'entries'). The description adds value by explaining that entries use the same format as 'add_database_entry' and that results are per-entry, but it doesn't provide additional syntax or format details beyond what the schema implies. This meets the baseline for high schema coverage.

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 specific action ('Create multiple entries'), resource ('in a database'), and scope ('in one call'), distinguishing it from its sibling 'add_database_entry' by emphasizing batch capability. It explicitly references the sibling tool for format consistency, making the purpose unambiguous and differentiated.

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 provides clear context for usage by specifying it's for batch creation and referencing 'add_database_entry' for format, but it doesn't explicitly state when to use this tool versus alternatives like 'add_database_entry' for single entries or 'update_database_entry' for modifications. No exclusions or prerequisites are mentioned, limiting guidance to implied rather than explicit.

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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