Enhanced Knowledge Graph Memory Server

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

No annotations are provided, so the description carries the full burden. It states 'Create multiple new relations,' implying a write/mutation operation, which is useful. However, it lacks critical behavioral details: it doesn't specify permissions required, whether the operation is idempotent, error handling for invalid inputs, or what happens if relations already exist. The active voice requirement is noted, but overall transparency is limited 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.

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

The description is a single, efficient sentence that states the core action and key constraint ('active voice') without unnecessary words. It's front-loaded with the main purpose, making it easy to parse quickly. Every part earns its place by conveying essential information succinctly.

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 complexity (a mutation tool for creating relations), lack of annotations, no output schema, and low schema coverage (0%), the description is incomplete. It covers the basic purpose and a constraint but misses behavioral context (e.g., side effects, permissions), detailed parameter guidance, and output expectations. For a tool that modifies a knowledge graph, this leaves significant gaps for an AI agent.

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 0%, so the schema provides no parameter descriptions. The description adds minimal semantics: it implies 'relations' is an array and mentions 'active voice' for relation types, which hints at the 'relationType' parameter. However, it doesn't explain the 'from' and 'to' parameters or provide examples beyond 'e.g., 'works_at', 'knows'' in the schema. With 0% coverage, the description partially compensates but leaves gaps.

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 ('Create multiple new relations') and resource ('between entities in the knowledge graph'), making the purpose understandable. It distinguishes from sibling tools like 'delete_relations' and 'create_entities' by focusing on relation creation rather than deletion or entity creation. However, it doesn't explicitly differentiate from all possible siblings like 'merge_entities' which might also involve relations.

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 provides no guidance on when to use this tool versus alternatives. It mentions 'relations should be in active voice,' which is a constraint but not usage context. There's no indication of prerequisites, when to choose this over similar tools (e.g., 'create_entities' might handle relations differently), or any exclusions, leaving the agent with minimal direction.

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