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palimpsest-labs

memory-mcp

create_relations

Add multiple entity relationships to the knowledge graph by specifying from, to, and relationType for each relation.

Instructions

Create multiple new relations between entities in the knowledge graph.

Each relation must have: from (str), to (str), relationType (str).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
relationsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the core action and required fields, but does not mention behavior on duplicate relations, error conditions, or whether existing entities are validated. This is insufficient 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.

Conciseness5/5

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

The description is two short, front-loaded sentences with no fluff. It states the purpose and required parameters efficiently, earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the essential purpose and parameter requirements, and an output schema exists so return details are not needed. However, it could be more complete by mentioning prerequisites like entity existence or duplicate policy, but this is a minor gap for a simple create operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is minimal (0% coverage), but the description compensates by explicitly specifying that each relation must have 'from', 'to', and 'relationType' with string types. This adds critical meaning beyond the empty schema objects.

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 tool's action ('Create') and resource ('multiple new relations between entities in the knowledge graph'), distinguishing it from siblings like create_entities and add_observations. It is specific and unambiguous.

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 explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites (e.g., whether entities must already exist). Usage is only implied by the tool's name and purpose.

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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