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mcp-taskflow

mcp-taskflow

by CalebGerman
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

analyze_task

Breaks down task requirements and proposes a high-level approach with threat modeling, design decisions, and architectural considerations for structured planning.

Instructions

Deeply analyze task requirements and propose a high-level approach. Includes threat modeling, design decisions, and architectural considerations.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "summary": "<summary>",
      "initialConcept": "<initialConcept>"
    },
    "name": "analyze_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
summaryYes
initialConceptYes
previousAnalysisNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, and it only lists output content (threat modeling, design decisions, architectural considerations). It never says whether the analysis is persisted, whether it mutates task state, what permissions are needed, or how it interacts with the task lifecycle in this server.

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?

Two tight sentences, front-loaded with the core action and followed by a scoping list of what the analysis covers. Little waste, though the enumerated 'includes' clause is somewhat generic.

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 tool with three undocumented parameters, no annotations, and no output schema, the description should explain inputs and the nature/return of the analysis. It omits both, leaving an agent unable to construct a correct call with confidence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description mentions none of the three parameters. The required 'summary' and 'initialConcept' and the optional 'previousAnalysis' are left entirely opaque, with no hint of expected content, format, or how previousAnalysis is used to continue an iteration.

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 gives a specific verb ('analyze') and resource ('task requirements') and states the deliverable ('propose a high-level approach'), which is more than a tautology. It does not, however, differentiate this from close siblings like plan_task or reflect_task, so an agent cannot tell from the text alone which analysis-flavored tool to pick.

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?

There is no statement of when to use this tool versus the many overlapping siblings (plan_task, reflect_task, split_tasks, research_mode). No prerequisites, no exclusions, no lifecycle position (e.g., before planning) are given.

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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