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apajon
by apajon

mempalace_kg_add

Add a triple (subject, predicate, object) to a persistent knowledge graph, optionally with a start date or source closet ID.

Instructions

Add a fact to the knowledge graph. Subject → predicate → object with optional time window. E.g. ('Max', 'started_school', 'Year 7', valid_from='2026-09-01').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYesThe entity doing/being something
predicateYesThe relationship type (e.g. 'loves', 'works_on', 'daughter_of')
objectYesThe entity being connected to
valid_fromNoWhen this became true (YYYY-MM-DD, optional)
source_closetNoCloset ID where this fact appears (optional)
Behavior3/5

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

No annotations exist. The description indicates a mutation operation ('Add a fact') but does not disclose potential side effects (e.g., overwriting existing facts, idempotency, or failure modes). Minimal but not misleading.

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?

Single sentence with a concrete example, no wasted words. Information is front-loaded and efficient.

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?

Given the simplicity of the operation (add a triple) and complete schema coverage, the description is sufficient. Could be enhanced by noting what happens on duplicate facts or the success response, but not necessary for basic usage.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for each parameter. The description adds value by explaining the triple pattern and providing an example, which helps contextualize parameter usage beyond schema.

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?

Clearly states the tool adds a fact to the knowledge graph, specifies the triple structure (subject-predicate-object), and provides an example. This distinguishes it from query or invalidation siblings.

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 use for adding facts but does not explicitly state when to use this tool versus alternatives like mempalace_kg_query or mempalace_kg_invalidate. No exclusions or alternative guidance provided.

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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