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diaz3618

memory-bank-mcp

graph_add_observation

Add an observation, fact, or note to any entity in your knowledge graph. Attach context with optional source and timestamp for structured memory persistence.

Instructions

Add an observation about an entity. Observations are facts, notes, or information associated with entities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeIdNoOptional store ID to target a specific registered store instead of the active one
entityYesEntity name or ID to attach the observation to
textYesThe observation text content
sourceNoOptional source of the observation
timestampNoOptional ISO timestamp (defaults to current time)
Behavior2/5

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

With no annotations, the description bears full burden of disclosure. It confirms a write operation but omits behavioral details like idempotency, duplicate handling, required permissions, or error cases. The definition of observations adds minimal context.

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?

Two concise sentences with no redundancy. Every word adds value—states action and defines the resource.

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?

Given the simplicity (no output schema, no nested objects), the description is minimally adequate. It covers the core purpose but lacks details on return value or side effects.

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%, so baseline is 3. The description adds no extra meaning beyond the schema; parameters like 'storeId', 'source', 'timestamp' are explained only in the schema.

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 tool adds an observation about an entity and defines what observations are (facts, notes, information). However, it does not differentiate from sibling tools like graph_add_doc_pointer, which also add something to an entity.

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 lacks any guidance on when to use this tool versus alternatives (e.g., when to add an observation vs. a document pointer or link). No when-not or exclusion criteria are 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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