Train Neo4j Knowledge Graph From File (Async Task)

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

Annotations already indicate non-read-only, open-world, non-idempotent, and non-destructive behavior. The description adds the async execution trait, which is useful, but does not disclose side effects, return format, or how to track the task. It provides some context beyond annotations but remains limited.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the core action. Every word contributes, with no redundancy or filler.

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

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

For an async task with no output schema, the description does not explain what the caller should expect after submission (e.g., task ID, status polling) or mention companion status tools. This is a significant gap for a tool that trains a graph asynchronously.

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

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

Schema description coverage is 100%, so parameters are already well-documented. The description mentions 'file (base64-encoded)' corresponding to file_content_base64, but does not add additional semantic value beyond what the schema provides.

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

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

The description clearly states the action: uploading a base64-encoded file to train a Neo4j knowledge graph. It specifies the async nature and 'namespaced endpoint', which helps distinguish it from synchronous or non-Neo4j variants among siblings.

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

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

The description implies usage context (async training from file to Neo4j) but does not explicitly mention when to use this over alternatives like synchronous training or text/website training. No exclusions or alternative tool references are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.