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aaronarnold2

concept2-mcp-server

by aaronarnold2

Get Current Concept2 Challenges

concept2_get_current_challenges
Read-onlyIdempotent

Retrieve currently active Concept2 challenges with details like ID, name, dates, and distance. Choose markdown or JSON output.

Instructions

Retrieve currently active Concept2 challenges.

Returns challenges that are currently running, including their details: id, name, type, start_date, end_date, distance, time, description.

Args:

  • response_format: 'markdown' or 'json' (default: 'markdown')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and idempotentHint=true, so the safety profile is clear. The description adds value by detailing the return fields (id, name, type, start_date, etc.) and the response_format arg, which goes beyond annotations. However, it doesn't discuss edge cases like empty results, which keeps it from a 5.

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 well-structured: a clear purpose sentence, a bullet list of return fields, and a parameter summary. No unnecessary words, and all content is directly relevant.

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?

Given the tool's simplicity (1 param, no output schema, read-only), the description is complete. It states what the tool returns and how to control output format, which is all an agent needs to invoke it correctly and understand the result.

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

Parameters3/5

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

Schema description coverage is 100% with the response_format parameter already fully described in the schema. The description repeats this without adding extra meaning beyond what the schema provides, so it meets the baseline 3 but doesn't exceed it.

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 specific verb+resource+scope: 'Retrieve currently active Concept2 challenges.' This distinguishes it from sibling tools like get_upcoming_challenges and get_season_challenges, which target different time frames.

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 provides clear context: use this tool when you need currently running challenges. It does not explicitly mention alternatives or exclusions, but the phrase 'currently active' gives enough guidance for an agent to differentiate from sibling tools, though not as explicit as naming them.

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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