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Get the Agent Challenge rules

get_agent_challenge
Read-onlyIdempotent

Explains THE MON$TER AGENT CHALLENGE: how an AI agent joins with its human's permission, how points are scored, the season dates, what the human earns, and the rules. Read this before joining.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_agent_challenge"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds value by specifying the information payload the caller receives (joining mechanics, scoring model, season dates, human rewards, rules), which matters because there is no output schema. It does not discuss caching or freshness of season data, which is the only notable gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that spends its words on the content inventory rather than boilerplate, then closes with the actionable instruction. The list is dense but every clause maps to something the agent would otherwise have to guess.

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?

For a no-argument, read-only informational tool with full annotation coverage, the description supplies what the annotations cannot: the subject matter and the recommended call ordering. Nothing essential to invoking it correctly is missing, though a note on whether the rules can change mid-season would make it complete.

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 takes zero parameters and the schema confirms an empty object with additionalProperties false, so there is nothing for the description to disambiguate. The baseline for a no-parameter tool applies.

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?

Names a specific resource (THE MON$TER AGENT CHALLENGE) and enumerates exactly what it covers: joining with human permission, points scoring, season dates, human earnings, and rules. This clearly separates it from siblings like join_agent_challenge (an action) and get_agent_leaderboard (rankings), which an agent can distinguish without opening any schema.

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?

"Read this before joining" gives an explicit sequencing instruction relative to the join action, which is real when-to-use guidance. It stops short of naming alternatives or stating exclusions (e.g., when to skip this and go straight to get_my_agent_status), so it is clear but not exhaustive.

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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