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aaronarnold2

concept2-mcp-server

by aaronarnold2

Get Concept2 Season Challenges

concept2_get_season_challenges
Read-onlyIdempotent

Retrieve Concept2 season challenges for a specified year. Choose markdown or JSON output.

Instructions

Retrieve Concept2 challenges for a specific season/year.

Args:

  • year: The season year (e.g., 2024) (required)

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesSeason year (e.g., 2024)
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 disclose read-only, idempotent, and non-destructive behavior. The description adds no extra behavioral context such as response structure or edge cases. It does not contradict annotations.

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 compact, front-loaded with purpose, and the args list is minimal and directly usable. No wasted words.

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

Completeness4/5

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

The tool is simple and parameters are fully known. However, there is no output schema and the description does not specify the exact return structure or example, so the agent's understanding of the response relies on inference from the name and response_format parameter. Still, for a straightforward read-only retrieval, this is nearly complete.

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?

The schema already covers both parameters with descriptions and constraints (year range, enum for response_format). The description merely repeats this information without adding new meaning, so it meets the baseline for high schema coverage but does not 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 tool 'Retrieve Concept2 challenges for a specific season/year,' using a specific verb and resource with clear scope. This differentiates it from sibling tools like get_current_challenges or list_challenges, which target different scopes.

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 the tool is for retrieving challenges by year, but it does not explicitly contrast with alternatives or specify when not to use it. Sibling tool names are available but not referenced. Thus, usage guidance is only implied.

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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