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njoerd114

kubecon-eu-mcp

by njoerd114

detect_conflicts

Detect time overlaps among selected sessions to identify scheduling conflicts and help resolve them.

Instructions

Detect scheduling conflicts among selected sessions.

Checks whether any of the provided sessions overlap in time, helping attendees resolve conflicts in their planned schedule.

Inspired by kubecon-event-scorer's conflict detection.

Args: session_uids: Comma-separated session UIDs to check for conflicts.

Returns: JSON with conflict pairs, overlap duration, and session details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_uidsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the return value (JSON with conflict pairs, overlap duration, session details) but does not explicitly state that the tool is read-only or free of side effects. The description adds some behavioral context but could be more explicit about what it does not do.

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 five sentences with no wasted words. The first sentence states the purpose immediately. The structure is logical: purpose, action, inspiration, args, returns. Highly concise and front-loaded.

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 tool with one parameter and an output schema, the description is complete. It explains the task, the input format, and the output structure. Given the tool's low complexity and available output schema, no further information is needed.

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 input schema provides only 'Session Uids' as type string with no description. The description adds critical semantics: 'Comma-separated session UIDs to check for conflicts', explaining format and purpose. With 0% schema description coverage, the description effectively documents the parameter.

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 detects scheduling conflicts among sessions, with specific verb 'detect' and resource 'conflicts among selected sessions'. It distinguishes from sibling tools like 'score_sessions' or 'search_sessions' by focusing specifically on conflict detection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when you have a set of session UIDs to check for overlaps, but does not explicitly state when to use this tool over alternatives, nor does it mention prerequisites or exclusions. Sibling tools provide context but guidelines are not explicit.

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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