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Remember

remember

Save facts, decisions, or preferences as memories with adjustable importance and provenance, enabling accurate retrieval later.

Instructions

Store a memory for later recall.

content: text to remember (a fact, decision, preference, or conversation turn). kind: note | chat | fact | preference | constraint | mission. importance: 1-5 (higher is weighted up in recall and protected from forgetting). 0 = auto-derive from content (no LLM) — concrete facts score higher than chit-chat. session: conversation/thread id used to group related memories. provenance: planning | action | observation | user_confirmation. Use user_confirmation only when the user explicitly confirmed the content; external actions may rely only on that provenance. actor: agent/process that produced the memory (default: MIDAS_MCP_ACTOR). namespace: scope tag (e.g. a project or user id); defaults to MIDAS_MCP_NAMESPACE.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNonote
actorNo
contentYes
sessionNodefault
namespaceNo
importanceNo
provenanceNoobservation

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses that importance influences recall and forgetting, auto-derive behavior, session grouping, and provenance rules. Annotations confirm non-destructive, and description adds context beyond annotations.

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?

Single paragraph with line breaks for parameters is reasonably concise. Could be more structured but no wasteful sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers all parameters, behavior, and output schema exists. Adequately complete for a tool with 7 parameters and complex memory semantics.

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

Parameters4/5

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

Despite 0% schema description coverage, the description explains each parameter's purpose and default behavior in detail, effectively compensating for missing schema descriptions.

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?

States 'Store a memory for later recall' — clear verb+resource. Differentiates from siblings like recall, forget, etc.

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?

Provides no explicit when-to-use vs. alternatives like recall or inspect_memory. Mentions provenance but not usage context for which tool is appropriate.

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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