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alopez3006

snipara-mcp

by alopez3006

rlm_memory_health

Inspect memory hygiene diagnostics by retrieving active memory counts, top categories, and auto-compaction threshold status. Detects noise and anomaly patterns without altering memory.

Instructions

Read-only memory hygiene diagnostics. Returns active memory counts, top categories, auto-compaction threshold status, and samples of known noise/anomaly patterns without mutating memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoOptional memory scope to inspect. Defaults to all visible project-owned scopes.
include_inactiveNoInclude INVALIDATED and SUPERSEDED memories in the scan.
sample_limitNoMaximum anomaly samples to return.
Behavior4/5

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

With no annotations, description carries full burden. Clearly states read-only nature and lists returned data, though could mention potential cost or response size for large memories.

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?

Single, front-loaded sentence. No wasted words.

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?

Adequate for a simple, read-only diagnostic tool with 0 required params. Lists key outputs despite missing output schema. Could detail return structure.

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 covers 100% with good descriptions. Description adds no extra parameter context, but baseline 3 is appropriate.

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 it's read-only diagnostics returning specific items (counts, categories, threshold, anomaly samples), distinguishing it from mutating siblings like rlm_memory_compact.

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?

Implicitly indicates use for inspection ('without mutating memory'), but lacks explicit alternatives or when-not-to-use instructions. Context with siblings helps.

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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