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storeUserMessage

Captures and stores user messages in short-term memory for AI assistants, enabling instant recall. Supports message content, importance levels, and optional metadata for enhanced context retention.

Instructions

Stores a user message in the short-term memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesContent of the message
importanceNoImportance level (low, medium, high)low
metadataNoOptional metadata for the message
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Stores' implies a write operation, it doesn't specify whether this is persistent, reversible, or has side effects. It mentions 'short-term memory' but doesn't explain retention policies, capacity limits, or how this interacts with other memory tools like 'getRecentMessages'.

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, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a straightforward storage tool and front-loads the essential information.

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?

For a write operation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after storage (e.g., confirmation, error handling), how to retrieve stored messages, or integration with related tools. The mention of 'short-term memory' is vague without operational details.

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 the schema already documents all three parameters thoroughly. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score for high schema coverage.

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 ('Stores') and resource ('a user message in the short-term memory'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'storeAssistantMessage' or 'storeDecision', but the specificity of 'user message' provides some implicit distinction.

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 provides no guidance on when to use this tool versus alternatives like 'storeAssistantMessage' or 'storeDecision', nor does it mention prerequisites or context for usage. It simply states what the tool does without indicating appropriate scenarios.

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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