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AINative-Studio

ainative-memory-mcp

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delete_observations

Delete specific observations from entities in the knowledge graph to update or correct stored information.

Instructions

Delete specific observations from entities in the knowledge graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deletionsYesArray of deletions
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It indicates mutation ('Delete') but lacks details on reversibility, error behavior, or permissions. Minimal disclosure beyond the action itself.

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?

Single sentence, no wasted words. However, it lacks structure (e.g., no bullet points or separation of concerns). Still appropriately sized for a simple tool.

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

Completeness3/5

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

Tool complexity is low (1 param, no output schema), and the description covers the core action. However, it lacks behavioral context (e.g., atomicity, error handling) that would fully inform an AI agent, given no annotations.

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 coverage is 100%, so the schema already documents parameters well. The description adds no extra meaning or context beyond repeating parameter names (e.g., 'Array of deletions'). Meets baseline but no added value.

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 action (delete), resource (observations), and scope (from entities in knowledge graph). It effectively distinguishes from sibling tools like delete_entities and delete_relations.

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?

No explicit guidance on when to use versus alternatives. The description implies deletion, but does not specify prerequisites, when not to use, or compare with other tools like add_observations.

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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