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wshobson

MaverickMCP

performance_optimize_cache_configuration

Analyze cache usage patterns and receive recommendations for optimal TTL values, cache sizes, and configuration settings to boost performance.

Instructions

Analyze cache usage patterns and recommend optimal configuration.

This tool analyzes current cache hit rates, memory usage, and access patterns to recommend optimal TTL values, cache sizes, and configuration settings for maximum performance. Use this for cache tuning.

Returns: Cache optimization analysis and recommended settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsYesPerformance metrics data
Behavior3/5

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

With no annotations, the description carries full burden for behavioral disclosure. It indicates the tool 'recommends' settings, implying no destructive side effects, but does not explicitly state read-only nature or potential impacts. Lack of explicit safe-operation statement reduces transparency.

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: three sentences covering purpose, analysis details, and return value. No unnecessary words, well-structured with clear sections, and front-loaded with key action.

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 no parameters and an output schema exists, the description adequately covers the tool's function and return. It details what is analyzed and recommended. Minor gap: no mention of prerequisites (e.g., existing cache usage) or limitations, but overall complete for a zero-param analysis tool.

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 zero parameters, and schema coverage is 100%, so the description need not add parameter details. Baseline 3 applies; the description adds no parameter meaning beyond what schema provides, but this is sufficient given no parameters exist.

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 specifies the tool's function: analyzing cache usage patterns (hit rates, memory usage, access patterns) and recommending optimal configuration (TTL, cache sizes, settings). The phrase 'Use this for cache tuning' explicitly identifies its purpose, distinguishing it from siblings like performance_get_cache_performance_status.

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 implies usage for cache tuning but does not explicitly state when not to use it or mention alternative tools (e.g., performance_get_cache_performance_status for monitoring). No exclusions or context for selection among sibling performance tools is provided.

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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