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clearskies MCP Server

clearskies MCP Server

by clearskies-py
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

analyze_v1_project

Analyze a ClearSkies v1 project to produce a migration report, listing models, handlers, errors, warnings, and complexity assessment.

Instructions

Analyze a ClearSkies v1 project and generate migration report.

Args:
    project_path: Path to the v1 project directory

Returns:
    Dictionary containing:
    - models: List of discovered models
    - handlers: List of discovered handlers
    - errors: List of parsing errors
    - warnings: List of migration warnings
    - complexity: Migration complexity assessment

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": {
      "project_path": "<project_path>"
    },
    "name": "analyze_v1_project"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_pathYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.2

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It discloses that the tool returns discovered models, handlers, errors, warnings, and a complexity assessment, suggesting it surfaces parsing issues rather than failing outright. However, it does not state whether the tool is read-only or what happens if the project path is invalid.

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 compact and well-structured with Args and Returns sections. It lists all output keys without redundancy, making every sentence useful.

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?

For a one-parameter analysis tool, the description fully covers inputs and outputs, including the structure of the returned report. It does not mention relationships to migration steps, but that is not essential for invoking this tool.

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 schema gives no description for 'project_path', but the description says 'Path to the v1 project directory', adding the needed meaning. It also enumerates the return dictionary keys, which clarifies what the parameter is used for.

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 function: 'Analyze a ClearSkies v1 project and generate migration report.' The verb 'analyze' and resource 'v1 project' distinguish it from sibling tools that list available components or map v1 to v2.

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 generate_v2_migration or get_migration_checklist. It simply states what it does without offering context, prerequisites, or 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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