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memory_status

Check memory system status to monitor storage, retrieval, and management of personal context and project preferences in AI assistants.

Instructions

Get the current status of the memory system.

Returns: Dictionary with status information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns a dictionary with status information, which is helpful, but doesn't cover critical aspects like whether this is a read-only operation (implied but not stated), potential performance impact, error conditions, or what specific status fields to expect. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 appropriately concise with two sentences that directly address the tool's function and return value. It's front-loaded with the core purpose ('Get the current status...') followed by output information. While efficient, the second sentence could be slightly more integrated into the main description for better flow.

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 the tool has 0 parameters, 100% schema coverage, and an output schema exists (which handles return value documentation), the description provides adequate basic information about what the tool does. However, for a status-checking tool in a memory system context, it could benefit from more context about what 'status' encompasses (e.g., memory usage, system health, configuration) to help the agent understand when this tool is truly needed versus other siblings.

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?

The tool has 0 parameters, and schema description coverage is 100% (since there are no parameters to describe). The description appropriately doesn't waste space discussing nonexistent parameters. A baseline of 4 is justified as the description efficiently focuses on the tool's purpose rather than parameter details that aren't needed.

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 the tool's purpose with a specific verb ('Get') and resource ('current status of the memory system'). It distinguishes this as a status-checking operation rather than data manipulation like its siblings (add_memory, delete_memory, etc.). However, it doesn't explicitly differentiate from other read-only siblings like get_memory or list_memories, which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when this status check is appropriate (e.g., for monitoring, debugging, or before other operations) or when to prefer other tools like get_memory for specific data retrieval. The lack of usage context leaves the agent without clear selection criteria.

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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