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enriquecatala

mcp-lightrag

unify_entities

Merge duplicate or synonym entities into a single canonical entity to resolve data inconsistencies in a knowledge graph.

Instructions

Merge multiple source entities into a single target entity to resolve duplicates or synonyms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourcesYesList of entity names to be merged (will be removed)
targetYesName of the resolving entity (will function as the canonical entity)
strategiesNoStrategy per field (e.g. {'description': 'concatenate'}). Options: keep_first, keep_last, concatenate
Behavior3/5

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

No annotations are provided. The description mentions merging and the schema indicates sources will be removed, disclosing a key behavioral trait. However, it does not discuss irreversibility, relationship updates, or permissions, which would be valuable 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.

Conciseness4/5

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

The description is a single, front-loaded sentence with no filler. It is concise but could benefit from a bit more context without losing efficiency.

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?

The tool has 3 parameters (including a nested object) and no output schema. The description does not cover return values, side effects (e.g., updates to relationships), or other behavioral context beyond the merge action, leaving gaps for an agent.

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 description coverage is 100%, so the schema already explains the parameters. The description adds no additional meaning beyond what the schema provides, resulting in a baseline score of 3.

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

Purpose5/5

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

The description clearly states the verb 'merge', the resource 'entities', and the purpose 'resolve duplicates or synonyms'. It differentiates from sibling tools like 'connect_entities' or 'remove_entities'.

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?

The description implies usage for deduplication but does not provide explicit guidance on when to use this tool versus alternatives, nor does it list any exclusions.

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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