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create_memory

Store and organize critical information, insights, or context into searchable, categorized memories for easy retrieval and knowledge base building.

Instructions

Capture and preserve important information, insights, or context as searchable memories with intelligent file-based storage. Ideal for building a knowledge base of user preferences, technical decisions, project context, or any information you want to remember and retrieve later with organized categorization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional category to organize memories (e.g., "user_preferences", "project_context")
contentYesDetailed memory content/text (no character limit)
metadataNoOptional metadata as key-value pairs for additional context
titleYesShort title for the memory (max 50 characters for better file organization)
workingDirectoryYesThe full absolute path to the working directory where data is stored. MUST be an absolute path, never relative. Windows: "C:\Users\username\project" or "D:\projects\my-app". Unix/Linux/macOS: "/home/username/project" or "/Users/username/project". Do NOT use: ".", "..", "~", "./folder", "../folder" or any relative paths. Ensure the path exists and is accessible before calling this tool. NOTE: When server is started with --claude flag, this parameter is ignored and a global user directory is used instead.
Behavior3/5

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. It mentions 'intelligent file-based storage' and 'organized categorization' which adds useful context about storage behavior. However, it doesn't address critical behavioral aspects like whether this operation is idempotent, what happens on duplicate titles, or any rate limits/authentication requirements for a write operation.

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 appropriately sized with two sentences that each earn their place. The first sentence states the core purpose, and the second provides usage context with specific examples. It's front-loaded with the main functionality. Minor deduction for slightly verbose phrasing ('any information you want to remember and retrieve later').

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?

For a 5-parameter write tool with no annotations and no output schema, the description provides adequate purpose and usage context but lacks completeness. It doesn't describe what happens after creation (success indicators, error conditions, return values), nor does it address important behavioral aspects like data persistence guarantees or conflict resolution.

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 5 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions 'organized categorization' which relates to the 'category' parameter but doesn't provide additional semantic context. Baseline 3 is appropriate when schema does the heavy lifting.

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 purpose with specific verbs ('capture and preserve') and resources ('important information, insights, or context as searchable memories'). It explicitly distinguishes this from sibling tools by focusing on memory creation rather than task/project management or retrieval operations like 'get_memory' or 'search_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 provides clear context about when to use this tool ('ideal for building a knowledge base of user preferences, technical decisions, project context') and implies usage through examples. However, it doesn't explicitly state when NOT to use it or name specific alternatives among siblings like 'update_memory' for modifications.

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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