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recordEpisode

Capture and store actions, details, and context in episodic memory, enabling AI assistants to retain and recall specific events for improved performance and continuity.

Instructions

Records an episode (action) in the episodic memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesType of action performed
actorYesActor performing the action (user, assistant, system)
contentYesContent or details of the action
contextNoContext for the episode
importanceNoImportance level (low, medium, high)low
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Records an episode', implying a write operation, but doesn't cover critical aspects like permissions needed, whether it's idempotent, error handling, or what happens upon success (e.g., confirmation). This leaves significant gaps for a mutation tool.

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?

The description is a single, efficient sentence: 'Records an episode (action) in the episodic memory'. It's front-loaded with the core action and resource, with no wasted words, though it could be slightly more specific to enhance clarity without losing conciseness.

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?

Given the tool's complexity as a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what 'episodic memory' entails, how episodes are used, or what the tool returns, leaving the agent with insufficient context for reliable invocation.

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?

The input schema has 100% description coverage, clearly documenting all 5 parameters (action, actor, content, context, importance) with their types and purposes. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Records an episode (action) in the episodic memory', which provides a clear verb ('Records') and resource ('episode in episodic memory'). However, it doesn't distinguish this tool from its siblings like 'storeUserMessage' or 'storeAssistantMessage', which might also record memory-related actions, making the purpose somewhat vague in context.

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 offers no guidance on when to use this tool versus alternatives. With siblings like 'storeUserMessage', 'storeAssistantMessage', and 'storeDecision' that might handle similar memory storage, there's no indication of specific use cases, prerequisites, or exclusions for 'recordEpisode'.

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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