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episodic_store

Store task outcomes and context to enable future learning from past episodes in research and development.

Instructions

Store a new episodic memory/reflection for future learning.

Args: task_type: Type of task: CODE, RESEARCH, DEBUG, REVIEW input_preview: Brief description of the input/context success: Whether the task was successful

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_typeYes
input_previewYes
successNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It states the tool creates a new memory, but lacks details on side effects, authorization needs, rate limits, or return values. The existence of an output schema is not referenced.

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 concise with a clear action statement followed by bullet-point parameter explanations. Every sentence adds value, and the purpose is front-loaded.

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?

While the description covers the basics, it does not specify valid values for task_type (only examples), the expected format of input_preview, or the output structure. Given the tool's simplicity, these gaps reduce completeness.

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 description coverage is 0%, so the description compensates by explaining each parameter: task_type as type of task with examples, input_preview as brief description, and success as boolean outcome. This adds meaning beyond the raw 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?

The description clearly states "Store a new episodic memory/reflection for future learning" with a specific verb and resource. This purpose is distinct from sibling tools like episodic_search, which retrieves memories.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for storing new memories and reflections, which differentiates it from search, get, and list tools. However, it does not explicitly state when not to use it or mention alternative tools for retrieval or modification.

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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