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memory_update

Update an existing memory record. Automatically regenerates vector embeddings when content changes, while preserving previous versions in history.

Instructions

Update an existing memory. If content changes, the vector embedding is automatically regenerated. Previous versions are preserved in history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID of the memory to update
contentNoNew content (will re-generate embedding)
titleNoNew title
metadataNoUpdated metadata (replaces existing)
tagsNoUpdated tags (replaces existing)
expires_atNoNew full ISO-8601 expiration timestamp (e.g. 2026-03-01T00:00:00Z), or null to remove
changed_byNoWho made this change (for version history)
importance_scoreNoReassign importance 0-1 (governance/criticality)
verification_tierNoSet/upgrade the verification tier after the fact (the main post-hoc use case — you verify a stored claim against live state later). Raises/lowers groundedness.
verification_detailNoFree text accompanying a verification_tier change.
volatilityNoManual override of the auto-derived volatility class.
Behavior4/5

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

Discloses key side effects: automatic embedding regeneration on content change and preservation of previous versions in history. Annotations do not contradict; 'openWorldHint: false' is compatible. This provides useful beyond-schema context.

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?

Three sentences that front-load the core purpose and then add behavioral details with no extraneous words. Every sentence serves a purpose.

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?

Covers the main behavioral aspects but lacks comparative guidance against a large set of sibling tools. Does not describe return value or error states, though no output schema exists. Adequate for a basic update tool.

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 coverage is 100% with detailed parameter descriptions. The description adds minimal extra per-parameter info (only the embedding regeneration tied to 'content'). Baseline 3 is appropriate.

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 'Update an existing memory' with a specific verb and resource. It adds behavioral details (embedding regeneration, versioning) that differentiate it from similar tools, but does not explicitly contrast with siblings like 'memory_replace' or 'memory_append'.

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 guidance on when to use this tool versus alternatives such as 'core_memory_replace' or 'core_memory_append'. The description omits prerequisites, context for choosing this tool, or when not to use it.

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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