Deduplicate Knowledge Graph

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

The description adds minimal behavioral context beyond the annotations. It does not explain whether duplicates are merged or removed, whether the operation is asynchronous, or whether special permissions are needed. Despite destructiveHint=false, deduplication could involve irreversible changes, and the description does not address this.

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 with no fluff or redundant wording. It is front-loaded and effectively communicates the core action.

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?

Contextual completeness is low: the tool mutates the knowledge graph, has no output schema, and the description does not mention return values, side effects, or whether the operation is synchronous or asynchronous. An agent cannot confidently anticipate the outcome or follow-up steps.

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?

The schema fully covers the single parameter, rag_id, with the description 'Knowledge base id'. The tool description adds no parameter-specific details, so the baseline of 3 is appropriate because the schema already provides sufficient clarity.

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 uses a specific verb 'deduplicate' with a clear resource ('entities in a knowledge base's graph'), making the tool's purpose understandable. However, it does not explicitly differentiate from the sibling tool lyzr_kg_ext_deduplicate_neo4j, so it is clear but not fully distinguishing.

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?

No guidance is provided on when to use this tool versus alternatives like the Neo4j-specific deduplication tool. There are no exclusions, prerequisites, or mention of alternative workflows, leaving the usage context only weakly implied by the name and description.

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