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njoerd114

kubecon-eu-mcp

by njoerd114

get_conference_overview

Retrieve a high-level overview of KubeCon + CloudNativeCon Europe 2026 conference details including event dates, schedule highlights, and useful links for planning.

Instructions

Get a high-level overview of the entire conference.

Returns: JSON with event name, dates, schedule at a glance, and useful links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The core handler function for the `get_conference_overview` MCP tool.
    async def get_conference_overview() -> str:
        """Get a high-level overview of the entire conference.
    
        Returns:
            JSON with event name, dates, schedule at a glance, and useful links.
        """
        overview = data_service.get_schedule_overview()
        return json.dumps(overview, indent=2)
  • Registration of the `get_conference_overview` tool using the `@mcp.tool()` decorator.
    @mcp.tool()
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns JSON with specific data (event name, dates, etc.), which is helpful. However, it lacks critical behavioral details such as whether this is a read-only operation, potential rate limits, authentication needs, or error conditions. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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 highly concise and well-structured. The first sentence clearly states the purpose, and the second sentence efficiently outlines the return format. There is no wasted language, and it's front-loaded with the core functionality, making it easy for an agent to parse quickly.

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

Completeness3/5

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

Given the tool's low complexity (0 parameters, no annotations, but has an output schema), the description is minimally adequate. It explains what the tool does and the return format, but the output schema likely provides more detail on the JSON structure. Without annotations, it should ideally cover more behavioral aspects (e.g., safety, performance) to compensate, but the presence of an output schema reduces the need to describe return values in depth.

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 0 parameters, and schema description coverage is 100% (as there are no parameters to describe). The description doesn't need to add parameter semantics, so a baseline score of 4 is appropriate. It efficiently avoids unnecessary parameter explanations, which is fitting for a parameterless tool.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('high-level overview of the entire conference'). It distinguishes from siblings like 'get_schedule' (detailed schedule) and 'get_venue_info' (venue-specific info) by focusing on the overall conference. However, it doesn't explicitly contrast with all siblings, such as 'get_colocated_events' (which might also provide overview-like data).

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. It doesn't mention scenarios like initial conference exploration, comparing with detailed tools (e.g., 'get_schedule'), or prerequisites. With many sibling tools (e.g., 'search_sessions', 'find_speaker'), the lack of usage context leaves the agent to infer based on tool names alone.

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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