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henrychong-ai

Neo4j Knowledge Graph MCP Server

update_entities_batch

Update multiple entities in one batch operation, achieving 10-50x faster performance than individual updates.

Instructions

Update multiple entities in a single optimized batch operation (10-50x faster than individual updates)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
updatesYesArray of entity updates
configNoOptional batch configuration
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It mentions speed but not error handling, partial failure, permissions, or whether operations are transactional—critical 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?

Single sentence with no wasted words. Front-loaded with purpose and key benefit. Highly concise.

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

Completeness2/5

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

No output schema, no annotations, and the description omits return value, error handling, or any guidance on batch behavior. Incomplete for a nested-parameter batch tool.

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 coverage is 100%, so baseline 3. The description adds no specific meaning beyond schema; it only repeats that it's a batch operation. Schema already describes parameters sufficiently.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool updates multiple entities in a batch, with a performance claim. However, it doesn't explicitly mention that updates can include adding/removing observations, which is part of the schema.

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

Usage Guidelines3/5

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

It implies use for batch updates over individual ones due to speed, but lacks explicit when-to-use or alternatives, and doesn't discuss trade-offs like atomicity or comparison with sibling batch tools.

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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