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nanoseil

MCP Background Task Server

by nanoseil

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity. The tools cover different aspects of background task management: listing, running, stopping, and interacting with stdin/stdout/stderr. There is no overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with hyphens (e.g., run-background-task, list-background-tasks). The naming is predictable and readable throughout the set.

    Tool Count5/5

    With 6 tools, the count is well-scoped for managing background tasks. Each tool earns its place by covering essential operations like starting, stopping, monitoring, and interacting with tasks.

    Completeness5/5

    The tool set provides complete lifecycle coverage for background tasks: creation (run-background-task), monitoring (list-background-tasks, get-task-stdout, get-task-stderr), interaction (send-to-task-stdin), and termination (stop-background-task). No obvious gaps exist.

  • Average 3.3/5 across 6 of 6 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
    • 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 ISC License.

  • 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 ('stops') but doesn't cover critical traits like whether this is destructive (likely yes, but not confirmed), permission requirements, side effects (e.g., task termination effects), or error handling. This leaves significant gaps for a mutation tool.

    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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action, making it easy to parse and understand quickly.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., what 'stop' entails, success/failure responses) and doesn't compensate for the absence of structured data, making it inadequate for safe and effective use.

    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 100% description coverage, with the 'name' parameter fully documented. The description adds no additional meaning beyond implying the name is used for identification, which the schema already covers. Baseline 3 is appropriate as the schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the verb ('stops') and resource ('a running background task'), specifying it's done 'by its name'. However, it doesn't explicitly differentiate from sibling tools like 'list-background-tasks' or 'run-background-task' in terms of purpose, which would require a 5.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does 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, such as when a task should be stopped versus monitored or restarted. It lacks context about prerequisites (e.g., task must be running) or exclusions, offering only basic usage without strategic advice.

    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 full burden for behavioral disclosure. It states the tool retrieves stderr, implying a read operation, but lacks details on permissions, rate limits, error handling, or what happens if the task isn't running. This leaves significant gaps for a tool interacting with background tasks.

    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 a single, efficient sentence that directly states the tool's function without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's moderate complexity (interacting with background tasks), no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details on behavior, error cases, or return format, leaving room for improvement in completeness.

    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 100% coverage, fully documenting the 'name' parameter as a unique task identifier. The description adds no additional semantic context beyond implying the task must be running, which is minimal value. Baseline 3 is appropriate since the schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the verb ('retrieves') and resource ('stderr of a running background task'), making the purpose immediately understandable. It distinguishes from sibling tools like 'get-task-stdout' by specifying stderr, but doesn't explicitly contrast with other siblings like 'list-background-tasks' or 'stop-background-task'.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides minimal guidance, stating it retrieves stderr for 'a running background task', which implies it should be used when a task is active. However, it offers no explicit when-not-to-use advice, prerequisites, or alternatives among siblings like 'get-task-stdout' for stdout or 'list-background-tasks' for task status.

    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 full burden for behavioral disclosure. While 'Retrieves' implies a read operation, it doesn't specify whether this requires specific permissions, what happens if the task isn't running or doesn't exist, or any rate limits. For a tool with zero annotation coverage, this leaves significant behavioral 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 a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential information.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a single-parameter read operation with no output schema, the description is minimally adequate but has clear gaps. It doesn't explain what format the stdout returns in, whether it's paginated, or what happens with non-existent tasks. The absence of annotations means the description should do more to compensate.

    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 schema description coverage is 100%, with the single parameter 'name' clearly documented as 'Unique name of the task' in the schema. The description doesn't add any additional parameter context beyond what the schema provides, so the baseline score of 3 is appropriate when the schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Retrieves') and resource ('stdout of a running background task'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling 'get-task-stderr' which retrieves stderr instead of stdout, missing an opportunity for sibling distinction.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does 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. It doesn't mention that 'get-task-stderr' retrieves error output instead, or that 'list-background-tasks' might be needed first to identify task names. No usage context or exclusions are provided.

    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?

    No annotations are provided, so the description carries the full burden. It mentions sending data to stdin but lacks details on behavioral traits such as whether this requires specific permissions, how data is processed, potential errors if the task isn't running, or rate limits, making it insufficient for a mutation tool with zero annotation coverage.

    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 a single, efficient sentence that directly states the tool's purpose without any wasted words, making it appropriately sized and front-loaded for quick understanding.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the complexity of interacting with a running task (a mutation operation) and the lack of annotations and output schema, the description is incomplete. It does not cover important aspects like response behavior, error handling, or prerequisites, leaving significant gaps for an AI agent to use the tool effectively.

    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%, so the schema already documents both parameters ('name' and 'data') adequately. The description adds no additional meaning beyond what the schema provides, such as format examples or constraints, resulting in a baseline score of 3.

    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 specific action ('Sends data') and target resource ('to the stdin of a running background task'), distinguishing it from sibling tools like get-task-stderr, get-task-stdout, list-background-tasks, run-background-task, and stop-background-task which have different purposes (reading output, listing, starting, or stopping tasks).

    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 by specifying 'a running background task', suggesting it should only be used when a task is active, but it does not explicitly state when to use this tool versus alternatives (e.g., when to send data vs. reading output) or provide exclusions, leaving some ambiguity.

    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 full burden but only states the basic action without disclosing behavioral traits like pagination, rate limits, permissions required, or output format. It fails to add meaningful context beyond the minimal purpose, leaving critical operational details unspecified.

    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 a single, efficient sentence that front-loads the core purpose without any wasted words. It is appropriately sized for a simple tool with no parameters, earning its place by directly stating the tool's function.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's complexity (listing tasks) and lack of annotations or output schema, the description is incomplete. It does not explain what information is returned (e.g., task IDs, statuses), how results are structured, or any limitations, leaving significant gaps for an AI agent to use it effectively.

    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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately omits parameter details, aligning with the schema's completeness. A baseline of 4 is applied as it correctly avoids redundancy while maintaining clarity.

    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 specific action ('Lists') and resource ('all currently running background tasks'), distinguishing it from siblings like get-task-stderr (retrieves error output) or run-background-task (initiates tasks). It precisely communicates the tool's function without redundancy.

    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 monitoring active tasks but provides no explicit guidance on when to use this tool versus alternatives (e.g., to check task status vs. retrieving logs). It lacks context on prerequisites or exclusions, leaving usage inferred rather than clearly defined.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    No annotations are provided, so the description carries the full burden. It discloses that the command is 'long-running' and runs 'in background', which implies non-blocking execution and potential for interaction via other tools. However, it lacks details on permissions, error handling, rate limits, or what happens if a task with the same name exists, leaving behavioral gaps for an agent.

    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 front-loaded with the core purpose in the first sentence and adds useful context in the second. Both sentences earn their place by clarifying the tool's role and interaction model without any wasted words, making it highly efficient and well-structured.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given no annotations and no output schema, the description provides basic purpose and usage context but lacks details on behavioral aspects like error responses, task lifecycle, or output format. For a tool that initiates background processes, more information on success/failure indicators or long-running implications would improve completeness, though it's minimally adequate.

    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%, so the schema already documents both parameters ('name' and 'shell'). The description adds no additional meaning beyond implying 'shell' is for commands like 'npm run dev', but this is redundant with the schema's 'Shell command to run' description. Baseline 3 is appropriate as the schema does the heavy lifting.

    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 verb ('Runs') and resource ('a long-running command in background'), with specific examples like 'npm run dev'. It distinguishes from siblings by mentioning interaction with other tools, which implies this is the entry point for background execution versus monitoring/control tools.

    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 clear context for when to use this tool ('Runs a long-running command in background') and hints at alternatives by stating 'you can interact with it using other tools', which references sibling tools like get-task-stderr or stop-background-task. However, it doesn't explicitly name alternatives or specify when not to use it, such as for short commands or immediate execution.

    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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