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memwal_analyze

Extract memorable facts from any text and save each as a separate memory for persistent recall.

Instructions

Extract memorable facts from a passage of text (preferences, habits, biographical info, constraints) and save each as a separate Walrus Memory memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
namespaceNo
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits on its own. It mentions that it saves memories, which implies a write operation, but it does not explain side effects (e.g., whether it overwrites existing memories), authentication requirements, or failure behaviors like handling no memorable facts found.

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, concise sentence that front-loads the action and resource. Every word contributes value, with no redundant information or filler.

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 is moderately complex with no output schema or annotations, so the description should explain more about behavior and expected outcomes. It does not mention what is returned (e.g., saved memory IDs or count), nor does it cover prerequisites like logging in. This leaves the agent with insufficient information for a non-trivial write operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning to the 'text' parameter by describing it as a passage containing preferences, habits, etc., but it completely omits any explanation of the 'namespace' parameter. Since schema description coverage is 0%, this is a significant gap for a required parameter and an optional one.

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 the tool's function: extracting memorable facts from a passage of text and saving each as a separate memory. It specifies the resource (passage of text) and the action (extract and save), and distinguishes itself from siblings by focusing on analysis and bulk-saving rather than single recall or restore.

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

Usage Guidelines3/5

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

Usage is implied: the description indicates it is for extracting multiple memorable facts from a text, but it does not explicitly say when to use this over alternatives like memwal_remember or memwal_recall, nor does it mention any exclusions or prerequisites.

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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