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delorenj

Wise Mise MCP

by delorenj

task_chain_analyst

Analyze task execution patterns to identify bottlenecks and optimize complex workflows for better performance.

Instructions

Analyze and optimize task execution chains for better performance.

This tool provides insights into task execution patterns, identifies bottlenecks, and suggests optimizations for complex task workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It states the tool provides insights, identifies bottlenecks, and suggests optimizations, but it does not clarify whether the tool performs mutations (e.g., 'optimize' might imply changes) or is purely analytical. It also omits details on required permissions, rate limits, or side effects.

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 concise, consisting of two sentences with no waste. However, it could be slightly more structured by front-loading the primary action. It is appropriate for a simple tool with no parameters.

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?

Given the tool has no parameters and an output schema exists (per context signals), the description does not need to detail return values. It adequately explains the tool's function for a user familiar with the domain. Minor gap: it doesn't hint at the output's structure, but the output schema compensates.

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 the schema coverage is 100% (trivially). Per the rubric, 0 parameters yields a baseline of 4. The description adds no parameter-specific information, but that is acceptable since none exist.

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's purpose: analyzing and optimizing task execution chains. It uses specific verbs ('analyze', 'optimize') and a defined resource ('task execution chains'). It distinguishes from siblings like 'trace_task_chain' (tracing only) and 'validate_task_architecture' (validation) by covering both analysis and optimization.

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 does not specify when to use this tool versus alternatives like 'analyze_project_for_tasks' or 'trace_task_chain'. It lacks explicit guidance on prerequisites, limitations, or scenarios where other tools would be more appropriate. The purpose is implied but no direct comparison.

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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