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paolino

mcp-memory-server

by paolino

list_process_groups

Group running processes by name to see total resource usage per process type, helping identify high-consumption applications at a glance.

Instructions

List processes grouped by name with aggregated stats.

Useful for seeing total resource usage by process type (e.g., "3 claude processes using 1.6GB total").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoNumber of groups to return (default 10, max 50)
min_countNoMinimum number of instances to include (default 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It states that it returns grouped stats and gives an example, but it does not specify which stats are included (e.g., CPU vs memory) or potential edge cases, leaving some gaps.

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 two concise sentences, front-loaded with the primary action and followed by a helpful example. No unnecessary words or repetition.

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?

With an output schema present and schema descriptions covering parameters, the description is largely complete. It provides a clear purpose and an example. It could mention read-only behavior, but that is implied by 'List' and the output schema.

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 description coverage is 100% for both parameters (n and min_count), with clear descriptions and defaults. The tool description adds no additional meaning beyond the schema, so the baseline of 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?

The description clearly states the tool lists processes grouped by name with aggregated stats, using a specific verb and resource. This distinguishes it from sibling tools like list_top_processes (individual processes) and list_memory_usage (memory-specific).

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?

It provides a clear use case: 'Useful for seeing total resource usage by process type' with an illustrative example. However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.

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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