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 valuable behavior details: the 500-per-call limit, the Neo4j UNWIND optimization, and the required structure for each relationship. It does not contradict the annotations and provides useful contextual information beyond the structured hints.

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 appropriately sized and structured: a concise first line, a high-level use-case sentence, a clear requirements list, and a concrete example. Each sentence contributes, though the example is somewhat long. No filler or redundancy.

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?

Given the tool's complexity (nested array parameter, batch limit, no output schema), the description is largely complete: it covers batch size, performance rationale, required fields, and provides an example. It could be more complete by mentioning whether the operation is asynchronous or returns a job identifier, but the current coverage is sufficient for correct invocation.

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?

With 100% schema description coverage, the schema itself is adequate. The description adds semantic value by explicitly stating each relationship needs from_id, to_id, and optional data, and by providing a concrete example with rel_type and relationships. This clarifies the expected format beyond the schema's generic descriptions.

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 tool's function: 'Create multiple relationships at once' and describes linking hundreds of concepts, people, and events. It distinguishes itself from bulk_create_graph_nodes (different resource) and create_graph_relationship (single relationship) by explicitly mentioning the batch/performance aspect.

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 conveys a clear use case: connecting many knowledge items in one operation, with a batch limit of 500 and performance benefits via UNWIND. It implies this is the tool for bulk creation, but it does not explicitly name alternatives or state when not to use it, leaving some room for improvement.

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