mcp-sysmon

by dragogargo

Overview Schema Related Servers Score Discussions

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Server Quality Checklist

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Latest release: v0.3.0
Disambiguation5/5
Each tool targets a distinct aspect of system monitoring with clear descriptions. Tools like get_system_overview and get_system_health are differentiated by full metrics vs. warnings-only, and process tools (find_process, get_top_processes, kill_process) have non-overlapping purposes.
Naming Consistency5/5
All tools use a consistent verb_noun pattern: get_ for read-only, find_ for search, kill_ for destructive operations. Naming is predictable and clear, e.g., get_disk_usage, get_network_info, kill_process.
Tool Count5/5
With 9 tools covering CPU, memory, disk, network, ports, battery, and processes, the count is well-scoped for a system monitoring server. No redundancy or missing core functionality.
Completeness5/5
The tool set provides thorough coverage for system diagnostics: process lifecycle (search, top, kill), resource overviews (system overview, health check), and specific subsystems (disk, network, ports, battery). Gaps like hardware sensors are niche and beyond typical scope.
Average 4.9/5 across 9 of 9 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- Last stable release on April 28, 2026
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It declares this is a read-only operation with no side effects, describes the platform behavior (laptop vs desktop), and details the return format including what fields are in the Markdown report.
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 and well-structured: first sentence defines purpose, second sentence usage guidance, third sentence platform note, fourth sentence read-only guarantee, fifth sentence return format. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters, no output schema, and no annotations, the description is complete. It explains what the tool does, when to use it, platform limitations, and the nature and content of the response.
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 tool has zero parameters and schema coverage is vacuously 100%. Therefore, baseline score of 3 is appropriate; the description does not need to add parameter semantics.
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 retrieves battery charge level, power source, and estimated time remaining using specific verbs and resources. It is distinct from sibling tools like find_process or get_disk_usage, which cover other system aspects.
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?
The description provides explicit usage guidance: 'Use this when the user asks about battery life, charging status, or power source.' It also mentions when not to use (desktops/VMs without battery) and the expected fallback behavior, though it does not explicitly name alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that it is a read-only operation with no side effects and that partitions requiring elevated privileges are silently skipped. Since no annotations are provided, the description fully covers behavioral traits.
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 (5 sentences), front-loads the main purpose, and every sentence adds value: purpose, usage, safety, output format, and edge case. No superfluous text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and no output schema, the description covers the tool completely: what it does, when to use, what it returns (Markdown table columns and I/O stats), and a behavioral note. No gaps.
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 zero parameters and schema description coverage is 100%. The description need not add parameter information. Baseline 4 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 states 'Show detailed disk usage for all mounted partitions with I/O statistics,' which is a specific verb+resource+scope. It also distinguishes itself from the sibling tool get_system_overview by noting it provides 'detailed' info vs a 'quick summary.'
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?
Explicit usage context: 'Use this for disk space analysis... For a quick disk summary... use get_system_overview instead.' This provides clear when-to-use and when-not-to-use guidance with a named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It explicitly states 'This is a read-only operation with no side effects' and mentions that loopback and virtual interfaces are included, giving clear behavioral expectations.
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 (about 6 lines), front-loaded with purpose, then usage guidelines, then behavioral transparency, and finally output details. Every sentence adds value with no fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and no output schema, the description fully explains the output format (Markdown report grouped by interface) and the fields shown (status, speed, IPs, traffic counters), making it complete for the tool's simplicity.
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 zero parameters, so baseline is 4. The description adds context about what the returned Markdown report contains, going beyond the empty schema.
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 starts with a specific verb ('Show') and resource ('all network interfaces'), and clearly lists what information is displayed (IP addresses, link speed, status, traffic counters). It distinguishes itself from siblings like 'get_open_ports' which focuses on ports, not general network interface info.
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 explicitly states when to use the tool ('check network connectivity, find IP addresses, investigate throughput') and when not to use it ('Not suitable for packet-level analysis or firewall rule inspection'), guiding the agent to appropriate alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that it is a read-only operation with no side effects, details the return format (Markdown table), and notes edge cases (only LISTEN/bound sockets, privileged connections show N/A).
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 with 5 sentences, front-loads the primary purpose, and every sentence serves a distinct purpose without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters, no output schema, and no annotations, the description fully compensates by explaining the operation, return format, use cases, and limitations.
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?
There are no parameters, so the description cannot add value beyond what the schema provides. A baseline of 4 is appropriate as the description does not need to elaborate further.
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 action ('List all listening TCP/UDP ports with the process that owns each one') and distinguishes the tool from the sibling 'get_network_info' by specifying the exact scope.
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?
It explicitly states when to use this tool (check services, debug port conflicts) and when not to (use get_network_info for general interface info), providing clear contextual guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses it is read-only with no side effects and takes ~0.5 seconds due to CPU sampling, fully describing behavioral traits beyond the missing annotations.
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?
Concise, front-loaded with a one-sentence summary, then usage guidance and details. Every sentence adds value with no fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, description explains output format (Markdown warnings or confirmation, including current value and threshold). Also mentions latency. Complete for a simple health check tool.
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?
No parameters exist; baseline is 4 per guidelines. Description adds no param info but is not needed.
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 it performs a quick health check returning warnings for metrics outside normal ranges, listing CPU, memory, swap, disk, battery. It distinguishes from sibling 'get_system_overview' which returns full metrics regardless of health.
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?
Explicitly says 'Use this as a fast diagnostic' and contrasts with 'Use get_system_overview for full metrics regardless of health status', providing clear when-to-use and when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states 'This is a read-only operation with no side effects.' It also discloses that processes that exit during enumeration or require elevated access are skipped, and describes the return format (Markdown table or plain text).
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 well-structured: front-loaded with the main purpose, then usage, then return format. Every sentence adds value without redundancy. It is concise yet comprehensive.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description explains the return format in detail (Markdown table with columns or plain text for no matches). It mentions edge cases (skipped processes) and provides a complete picture for a search tool with one parameter.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so description must explain the parameter. It thoroughly explains the 'name' parameter: 'Process name or substring to search for. Matching is case-insensitive and partial — "fire" matches "firefox", "Firewall", etc.' This adds significant meaning beyond the schema.
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 'Search for running processes by name using case-insensitive partial matching.' It provides a specific verb (search), resource (running processes), and key characteristics. It also distinguishes itself from sibling tool 'get_top_processes'.
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 explicitly says when to use this tool vs. get_top_processes: 'Use get_top_processes instead when you want to see the highest resource consumers regardless of name.' It also explains the workflow: after finding a process, use its PID with kill_process.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses read-only nature, no side effects, approximate execution time (~0.5s), and limitation that privileged disk partitions are silently skipped. No annotations provided, so description fully covers behavioral traits.
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?
Four sentences, each earning its place: first sentence defines purpose, second gives usage guidance, third adds behavioral context, fourth explains output format. No redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, description fully explains return structure and sections. Covers purpose, usage, behavior, performance, and limitations. Complete for a read-only health snapshot tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (schema coverage 100%), but description adds value by detailing the return format (Markdown report with sections) and behavior, exceeding the baseline for zero-parameter tools.
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?
Clear verb 'Retrieve' and specific resource 'full system health snapshot' with listed components (CPU, memory, etc.). Distinguishes itself from sibling tools by stating it is the first tool to use.
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?
Explicitly advises using as first tool for system diagnostics and names specific follow-up tools (get_top_processes, etc.) for deeper investigation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations, so description fully covers: declares read-only with no side effects, notes timing differences (CPU ~0.5s, memory instant), and mentions skipped processes (exited or elevated access).
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?
Well-structured: purpose first, then usage guidelines, behavioral notes, parameter details. Each sentence adds value, no fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Without output schema, description explains return format (Markdown table with columns). Covers all relevant aspects: purpose, usage context, behavior, parameters, and output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% coverage, but description explains both parameters: sort_by accepts 'cpu' or 'memory' (default behavior), limit 1-50 with clamping. Adds meaning beyond schema defaults.
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?
Clearly states it lists top resource-consuming processes sorted by CPU or memory. Distinguishes from siblings: directs to get_system_overview for big picture and find_process for specific search.
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?
Explicitly says when to use (drill down after overview) and when not (use find_process for specific process). Also explains sort_by options and behavior.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but description fully discloses destructive nature, signal types (SIGTERM vs SIGKILL), permission requirements, side effects, and return types (confirmation or error). Detailed parameter behavior for force.
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?
Well-structured with clear sections: purpose, usage guidelines, side effects, parameter details. Each sentence is informative without redundancy. Front-loaded with core action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Coverage for all aspects: input (pid, force), behavior (signal types), prerequisites (identification), warnings, permissions, return values. No output schema, but description includes expected confirmation/error messages.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage; description compensates fully by explaining pid (numeric, use discovery tools) and force (default false sends SIGTERM, true sends SIGKILL, when to use each). Adds guidance not present in schema.
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 'Terminate a process by its PID' with a specific verb and resource. Distinguishes from sibling tools like find_process and get_top_processes by indicating the action is termination, not discovery.
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?
Explicitly states when to use (after identification via find_process/get_top_processes) and provides critical safety instructions (confirm with user, danger of killing system processes). Mentions alternatives for identification.
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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