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ArkaAiAdmin

Agentic Memory

by ArkaAiAdmin

memory_recall

Recall past interactions or thread context for AI agents. Provides recent session activity when no query is given.

Instructions

Recall context for the current session or a named thread.

Combines session_start + recall_context into one call. If no query is given, returns recent session activity.

Args: query: What to recall (default: recent activity). session_id: Specific session/thread to recall.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
tenant_idNodefault
session_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations exist, so the description carries the burden. It mentions combining operations but does not specify read-only nature or side effects. The behavior is implied to be safe but not confirmed.

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?

The description is concise, with a clear opening sentence. The 'Args' section adds value, though it could be more tightly integrated. No unnecessary 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?

An output schema exists but the description does not reference it or describe return values. For a recall tool with 3 optional parameters and many siblings, more detail on when to use and what to expect is needed.

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 0%, so the description's 'Args' section adds meaning to query and session_id, but it omits tenant_id entirely. The parameter meaning is partially addressed but incomplete.

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 that the tool recalls context for a session or thread and that it combines two other tools. It distinguishes itself from siblings like memory_session_start and memory_recall_context.

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?

The description notes that no query returns recent activity, but it does not provide explicit guidance on when to use this tool versus its siblings, leaving the agent to infer.

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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