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neo4j_query

Query Neo4j knowledge graphs to discover entity relationships and connections using natural language questions.

Instructions

Query Neo4j knowledge graph for entity relationships.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language query about entities/relationships
labelsNoEntity types to search
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool queries for entity relationships but doesn't describe what the query returns (e.g., results format, error handling), any limitations (e.g., rate limits, authentication needs), or side effects. This is inadequate for a query tool with no annotation coverage.

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

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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?

Given the complexity of querying a knowledge graph, the lack of annotations and output schema, and the description's minimal detail, this is incomplete. The description doesn't explain what the tool returns, how to interpret results, or any behavioral traits, which is insufficient for effective tool invocation.

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 documents both parameters ('query' and 'labels') with descriptions. The description adds no additional meaning beyond what the schema provides, such as examples or usage context for the parameters, which aligns with the baseline score of 3 when schema coverage is high.

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

Purpose4/5

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

The description clearly states the tool's purpose as 'Query Neo4j knowledge graph for entity relationships,' which includes a specific verb ('Query') and resource ('Neo4j knowledge graph'). However, it doesn't distinguish this from potential sibling tools that might also query databases or graphs, though none of the listed siblings appear to be direct alternatives.

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

Usage Guidelines2/5

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 doesn't mention any prerequisites, exclusions, or specific contexts for usage, leaving the agent to infer based on the tool name and purpose alone.

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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