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jigneshsuvariya

Codebase Knowledge Graph MCP Server

create_entities

Batch-create code entities like classes and functions with attributes and observations to build a structured knowledge graph of your software codebase.

Instructions

Create multiple new entities in the knowledge graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitiesYesArray of partial entity objects to create. 'name' and 'entityType' are required. Nested 'observations' require 'observationType' and 'content'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
Behavior2/5

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

No annotations are provided, so the description must carry full behavioral disclosure. It only states the action of creating entities, but lacks details on idempotency, error handling, side effects, or expected behavior on duplicate entries. This is a significant gap for a creation tool.

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, front-loaded sentence that efficiently communicates the tool's purpose without any wasted words. It is appropriately concise.

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 the input schema (nested objects, many optional fields) and the existence of an output schema, the one-line description is insufficient. It does not address constraints, return values, or broader context that would help an agent use the tool correctly.

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%, with each property having a clear description. The tool description adds no extra meaning beyond what the schema already provides, meeting the baseline for high coverage.

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 'create' and the resource 'multiple new entities in the knowledge graph'. It effectively distinguishes from sibling tools like 'create_relations' and 'add_observations' by specifying that it deals with entities and supports batch creation.

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 creating entities but provides no explicit guidance on when to use this tool versus alternatives like 'create_relations' or 'add_observations'. The context of 'multiple new entities' suggests batch operations, but no exclusions or prerequisites are mentioned.

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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