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clearskies MCP Server

clearskies MCP Server

by clearskies-py
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

list_available_exceptions

Discover all clearskies exception types and their descriptions to handle errors effectively in your application.

Instructions

List all available clearskies exception types with a short description of each.

These are the exceptions that clearskies may raise during operation. Understanding these helps with proper error handling in your application.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_available_exceptions"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.2

TDQS

A4.5/5.0
Behavior4/5

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 transparently states the tool lists exceptions with descriptions, which is suitable for a read-only operation. It adds context about the purpose (error handling) without needing to describe return structure since an output schema exists.

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 concise and front-loaded: the first sentence delivers the action, and the second adds relevant context. There is no wasted language.

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

Completeness5/5

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

For a simple parameterless list operation with an output schema, the description fully covers purpose and use case. The output schema handles return structure details, so no further context is necessary.

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 takes zero parameters, so the baseline is 4. The description adds no parameter details, but none are needed since the input schema is empty.

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 'List all available clearskies exception types with a short description of each', using a specific verb and resource. It distinguishes from sibling list_* tools by focusing specifically on exceptions, making it 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 explains these are exceptions clearskies may raise and helps with error handling, giving a clear use case. It implies when to use this tool, though it does not explicitly mention alternatives like get_exception_info for specific exception details.

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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