kill-process-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: process_kill terminates a specific process by PID, while process_list provides a comprehensive overview of running processes with filtering and sorting options. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the task.
Naming Consistency5/5Both tools follow a consistent verb_noun naming pattern (process_kill and process_list), using the same prefix 'process_' and clear action verbs. This uniformity makes the tool set predictable and easy to understand.
Tool Count3/5With only two tools, the server feels thin for a process management domain, as it lacks operations like process creation, monitoring, or detailed inspection. While the tools cover basic killing and listing, the scope is minimal and may limit agent capabilities in more complex scenarios.
Completeness2/5The tool set is severely incomplete for process management. It includes kill and list operations but misses essential functions such as process creation, status updates, resource monitoring, or handling process groups. This will likely cause agent failures when tasks require more than basic termination or listing.
Average 3/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 3 of 3 community issues answered or closed in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under GPL 3.0.
This repository includes a README.md file.
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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
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('kill') which implies a destructive operation, but doesn't elaborate on consequences (e.g., process termination effects, permissions required, system impact, or error handling). This is inadequate for a potentially dangerous operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with no wasted words. It's appropriately sized and front-loaded, making it easy to understand immediately.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive tool with no annotations, 0% schema coverage, and an output schema (which helps but doesn't cover behavioral aspects), the description is insufficient. It lacks critical details about safety, permissions, and usage context that are essential for responsible tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It mentions 'PID' which corresponds to the 'pid' parameter, adding some meaning. However, it doesn't explain the 'ctx' parameter at all, leaving half the parameters undocumented. The minimal compensation warrants a baseline score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('kill') and the target ('process identified by the given PID'), which is specific and unambiguous. However, it doesn't explicitly differentiate from the sibling tool 'process_list', which would be needed for a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or context for its use. It simply states what it does without indicating appropriate scenarios or warnings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions the tool lists processes with sorting and filtering, it doesn't describe what the output looks like, whether this is a read-only operation, potential performance implications, or any system requirements. The description lacks behavioral context beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that packs substantial information about the tool's capabilities. It's appropriately sized for a tool with 11 parameters, though it could benefit from better structure by separating core purpose from parameter details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (11 parameters, no annotations, but with output schema), the description is moderately complete. It covers the core purpose and most parameters but lacks behavioral context and usage guidance. The presence of an output schema reduces the need to describe return values, but more context about the tool's operation would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for 11 parameters, the description compensates well by listing most key parameters: name, user, status, CPU/memory thresholds, system-process filtering, sort order, and limit. It provides semantic meaning for what would otherwise be completely undocumented parameters, though it doesn't cover all 11 parameters (missing 'duration' and 'ctx').
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('running processes') with specific attributes ('sorted by CPU or memory'). It distinguishes from the sibling 'process_kill' by focusing on listing rather than termination. However, it doesn't explicitly contrast with the sibling tool beyond the different action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions optional filtering capabilities but provides no guidance on when to use this tool versus alternatives. There's no mention of the sibling tool 'process_kill' or any context about when listing processes is appropriate versus terminating them. Usage is implied through parameter listing rather than explicit guidance.
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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