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memory_health

Audit memory quality by running health checks that score system performance, detect conflicts, track stale data, and analyze status distribution.

Instructions

Run a health check on the memory system. Returns: score (0-100), conflict count, stale count, status distribution. Use to audit memory quality.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stale_daysNoDays without update to consider stale
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return values (score, conflict count, etc.), which is useful behavioral context. However, it doesn't mention potential side effects, performance implications, or error conditions, leaving some behavioral traits unspecified.

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 front-loaded with the core purpose, followed by return details and usage guidance in just two sentences. Every sentence adds value without redundancy, making it efficient and well-structured.

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?

Given the tool's moderate complexity (health check with one parameter) and lack of annotations/output schema, the description is fairly complete—it explains purpose, returns, and usage. However, it could benefit from more detail on what 'health' entails or edge cases, slightly limiting completeness.

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?

The input schema has 100% description coverage, with the parameter 'stale_days' well-documented. The description doesn't add any parameter-specific details beyond what the schema provides, so it meets the baseline of 3 without compensating or detracting.

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 tool's purpose with a specific verb ('Run a health check') and resource ('on the memory system'), distinguishing it from siblings like list_memories or memory_conflicts. It explicitly mentions what the tool does rather than restating the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool ('Use to audit memory quality'), distinguishing it from siblings that perform operations like adding, deleting, or updating memories. It clearly indicates this is for assessment rather than modification.

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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