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jambavan_memory_mine_session

Extract facts, decisions, TODOs, and constraints from session transcripts to store as durable memories in your project scope.

Instructions

Mine durable facts, decisions, TODOs, and constraints from a pasted session transcript or log. Stores each extracted item as an OKF memory in the requested scope. This is deterministic text mining — no summarization or external service.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesSession transcript, notes, or log text to mine.
scopeNoMemory scope / project name. Defaults to "general".
sourceNoOptional source label, e.g. session id or file path.
Behavior3/5

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

With no annotations, the description carries full burden. It discloses deterministic nature and no external service, but omits details on error handling, empty input behavior, overwriting, or return value.

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?

Two sentences, front-loaded with purpose, efficient and no wasted words.

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?

Given no output schema, description should clarify return value or side effects. It explains input/output conceptually but lacks specifics on result format or number of items.

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% so baseline 3. Description adds minimal context (e.g., 'stores extracted item as OKF memory in requested scope') but does not enrich parameter semantics significantly.

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?

Description clearly states the tool mines durable facts, decisions, TODOs, and constraints from a session transcript, distinguishing it from sibling memory tools like store, search, recall.

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?

Description mentions it is deterministic text mining with no summarization or external service, implying appropriate use cases, but lacks explicit guidance on when not to use it or alternatives.

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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