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update_memory

Update a stored memory's content, importance, scope, or associated metadata to keep your AI assistant's knowledge accurate and relevant.

Instructions

Update an existing memory's content, importance, or scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
memory_idYesMemory ID to update
contentNoNew content
importanceNoNew importance (1-10)
scopeNoNew scope
memory_typeNoNew memory type
categoryNoNew category (e.g., "backend", "frontend", or any custom category)
subjectNoNew subject (e.g., "auth_system", "react_version")
tagsNoNew tags (replaces existing tags)
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 only states that the tool updates memory fields, but does not disclose whether it partially or fully overwrites fields, whether it is idempotent, or what happens on error. For a mutation tool, this is insufficient.

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 sentence that directly states the tool's purpose without any unnecessary words. It is concise and front-loaded with the key action and resource.

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 has 8 parameters and no output schema or annotations, the description is far from complete. It does not explain that memory_id is required, that other fields are optional, or how updates are applied (e.g., partial vs full replacement). Important behavioral context is missing.

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 provides 100% coverage with descriptions for all parameters. The description lists only three fields (content, importance, scope) but the schema includes more (memory_type, category, subject, tags). Since the schema already explains each parameter, the description adds minimal extra meaning, resulting in a baseline score of 3.

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 tool updates an existing memory's content, importance, or scope. It includes the verb 'update' and the resource 'memory', making the purpose clear. However, it does not explicitly differentiate from sibling tools like save_memory or delete_memory, which would warrant a higher score.

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?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives (e.g., save_memory for creation, delete_memory for removal). There is no mention of prerequisites or context for usage.

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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