Skip to main content
Glama
aaronarnold2

concept2-mcp-server

by aaronarnold2

Get Upcoming Concept2 Challenges

concept2_get_upcoming_challenges
Read-onlyIdempotent

Get upcoming Concept2 challenges starting within a set number of days. Choose a time window up to 365 days and receive results as markdown or JSON.

Instructions

Retrieve upcoming Concept2 challenges starting within a given number of days.

Args:

  • days: Number of days ahead to look for upcoming challenges (default: 30, max: 365)

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days ahead to look for upcoming challenges
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior3/5

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

Annotations already declare the tool as read-only, idempotent, and non-destructive, so the safety profile is covered. The description adds the time-window scoping context, but does not disclose potential behaviors like result ordering, pagination, or timezone handling. This is acceptable for a simple read operation.

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 extremely concise, consisting of one purpose sentence and a compact parameter list with defaults and constraints. Every piece of content adds value, and the purpose is 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?

Given the tool's low complexity (2 optional parameters, full schema coverage), the annotations that indicate safe read-only behavior, and the absence of an output schema, the description is sufficiently complete. The response_format parameter already indicates the output type, so no additional return-value explanation is necessary.

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 coverage is 100%, with both parameters ('days' and 'response_format') having clear descriptions, defaults, and/or enums. The description's Args section essentially paraphrases the schema, adding no new semantic meaning beyond what is already structured.

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 verb ('Retrieve'), resource ('upcoming Concept2 challenges'), and scope ('starting within a given number of days'). It differentiates from siblings like get_current_challenges and get_season_challenges through the 'upcoming' and time-window focus, but does not explicitly name alternatives.

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 when to use this tool (when needing challenges that start within a specified future window) but provides no explicit exclusions or references to sibling tools. The context is clear enough for an agent to infer appropriate use, but lacks direct guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aaronarnold2/concept2-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server