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iranti_relate

Create relationship edges between entities in the iranti MCP server to establish connections within persistent shared memory for AI coding agents.

Instructions

Create a relationship edge between two entities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromEntityYesSource entity in entityType/entityId format.
relationshipTypeYesCaller-defined relationship type.
toEntityYesTarget entity in entityType/entityId format.
propertiesJsonNoOptional JSON-serialized relationship properties.
createdByNoOverride the default agent id.
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. While 'Create' implies a write/mutation operation, the description doesn't address permissions needed, whether the operation is idempotent, what happens on conflicts, rate limits, or what the response looks like (since there's no output schema). This leaves significant gaps for an agent to understand how to use it safely and effectively.

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, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it easy 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?

For a mutation tool with 5 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after creation (e.g., success/failure responses), error conditions, or how it fits with sibling tools. The agent would need to guess about behavioral aspects and usage context.

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%, meaning all parameters are documented in the schema itself. The description doesn't add any additional semantic context about the parameters beyond what's in the schema (e.g., it doesn't explain relationship types or entity formats in more detail). This meets the baseline for high schema coverage.

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 action ('Create') and resource ('relationship edge between two entities'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'iranti_related' or 'iranti_related_deep', which might also handle relationships in some way.

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. With sibling tools like 'iranti_related' and 'iranti_related_deep' that might handle relationship queries, there's no indication of when creation is appropriate versus retrieval, or any prerequisites for using this tool.

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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