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S3bRR

AgentTasker MCP Server

by S3bRR
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Python
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.1

  • Disambiguation5/5

    The two tools have clearly distinct purposes: one executes a single task, the other executes multiple tasks in parallel. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun pattern: 'execute' and 'execute_batch'. The batch suffix clearly indicates the parallel execution variant.

    Tool Count3/5

    With only 2 tools, the server feels minimal. While it covers the basic task execution needs, the scope of a 'Tasker' service might warrant additional tools for management (e.g., listing, canceling). The count is borderline but acceptable for a narrow focus.

    Completeness2/5

    The server lacks tools for task management beyond execution, such as listing tasks, checking status, canceling, or deleting. This creates significant gaps for an agent needing full task lifecycle support.

  • Average 3.4/5 across 2 of 2 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 MIT 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?

    No annotations exist, and the description adds no behavioral context beyond the basic action. It does not disclose security requirements, side effects, rate limits, or error handling, leaving a significant gap for a tool with 28 parameters.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is extremely concise (6 words) and front-loaded with the core purpose. However, for a tool with 28 parameters, slightly more detail could aid understanding without losing conciseness.

    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 high parameter count and no output schema, the description is insufficiently complete. It lacks information about return values, error scenarios, and how to properly configure the many task types.

    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 baseline is 3. The description does not add any meaning beyond the schema's parameter descriptions, which are already present.

    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 'Run one task and return its result' clearly states the action (run) and the resource (task), and implicitly distinguishes from sibling 'execute_batch' by specifying a single 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?

    No guidance is provided on when to use this tool versus execute_batch, or on prerequisites, context, or exclusions. The agent must infer usage from the name alone.

    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?

    With no annotations, the description carries full burden but only mentions parallelism and ordered results. It omits details on error handling, concurrency limits, side effects, or ordering guarantees. Some transparency exists but significant gaps remain.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single concise sentence covering the core functionality without redundancy. It is appropriately front-loaded, though it could benefit from a brief expansion on ordering or parallelism details without sacrificing conciseness.

    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 the tool (multiple task types, no output schema, no annotations), the description is too brief. It fails to explain ordering guarantees, error behavior, return structure, or concurrency limits, leaving the agent with insufficient context for correct invocation.

    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 coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond the schema for the 'tasks' and 'output_mode' parameters, which are already well-documented in the input 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 the tool 'run[s] many tasks in parallel' and returns ordered results, distinguishing it from the sibling 'execute' tool which likely handles single tasks. The verb 'run' and resource 'tasks' are specific and unambiguous.

    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 implies usage for parallel execution of multiple tasks via the phrase 'many tasks in parallel,' which contrasts with the sibling 'execute' tool for single tasks. However, it does not explicitly state when to use this tool over alternatives or provide exclusions.

    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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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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