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ArkaAiAdmin

Agentic Memory

by ArkaAiAdmin

memory_review_beliefs

Review beliefs needing agent attention based on low confidence, age, or staleness. Returns structured list for agent to confirm or update.

Instructions

Review beliefs that may need agent attention — low confidence, old, or stale.

Returns a structured list of belief assertions with subject/predicate/object for the agent to confirm, supersede, retract, or reinforce.

Args: min_confidence: Maximum confidence threshold (returns beliefs BELOW this). belief_status: Filter by status (default "active"). older_than_days: Only return beliefs last reviewed more than this many days ago. limit: Max results (default 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
belief_statusNoactive
min_confidenceNo
older_than_daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that it returns a structured list and filters, but does not explicitly state whether it modifies state or requires permissions. It is a read operation, but not explicitly flagged.

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 concise, front-loads the purpose, then describes return structure, then lists parameters. No unnecessary words.

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

Completeness5/5

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

Given 4 optional parameters and an output schema (not shown but present), the description covers the tool's purpose, filters, and return structure. It is complete for a review tool.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully explains each parameter: min_confidence (returns beliefs below threshold), belief_status, older_than_days, limit. It adds key semantics like 'maximum confidence threshold' and default behavior.

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 verb 'Review' and the resource 'beliefs that may need agent attention', specifying low confidence, old, or stale beliefs. It distinguishes from other memory tools by focusing on attention-needing beliefs.

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 implies when to use (for reviewing beliefs needing attention) but does not explicitly state when not to use or provide alternative tool names. The context is clear enough for an agent.

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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