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store_decision

Save key choices as decision entities in the memory graph, tag them for retrieval, and add a dated observation to track reasoning over time.

Instructions

Store an important decision in the memory graph as a Decision entity with a dated observation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsYesTags for categorization (e.g. ['equity', 'Novara', 'John Minzy'])
titleYesShort title/identifier for the decision
contentYesFull content/description of the decision
importanceNoImportance level 1-5 (default: 3)
Behavior2/5

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

With no annotations, the description carries the full burden of disclosure. It reveals that a Decision entity with a dated observation is created, but omits behavioral details such as whether existing decisions are overwritten, required permissions, or side effects on the memory graph. The word 'store' implies a write operation, but no further transparency is given.

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, short sentence with no redundant words. It efficiently conveys the core action and entity type.

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?

The tool has 4 parameters, no output schema, and no annotations. The description does not explain the 'memory graph' context, what a 'dated observation' entails, or how returned data looks. Sibling tool names provide some context but are not referenced. The description is insufficient for an agent to fully understand the tool's behavior.

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 parameters are well-defined in the schema. The description adds no additional meaning for any parameter (e.g., what 'dated observation' means for 'content' or how 'importance' affects storage). Baseline of 3 is appropriate.

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 'Store' and the resource 'an important decision in the memory graph as a Decision entity with a dated observation.' It differentiates from siblings like 'remember' by specifying the entity type, though it does not explicitly distinguish usage from similar tools.

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?

No guidance is provided on when to use this tool versus alternatives like 'remember' or 'recall.' The description does not mention prerequisites, context, or exclusions, leaving the agent without decision-making support.

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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