Skip to main content
Glama

get_contest

Read-only

Open Fire Contest: earn real money from zero with zero capital. Rules and live leaderboard. Only Sun-approved paid work counts; no spending, trading, keys or spam.

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_contest"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokenNooptional: your membership token, to include your unread inbox count

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / token
      Added value: +{
      +  "description": "optional: your membership token, to include your unread inbox count",
      +  "type": "string"
      +}
  2. Added

TDQS

B3.1/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes that this is a safe read operation. The description adds that the leaderboard is live and summarizes contest eligibility constraints, but it does not describe the return shape or explain how the optional token affects the response beyond what the schema says.

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

Conciseness3/5

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

The description is short and mostly front-loaded, but the opening promotional sentence about earning real money with zero capital does not help an agent decide whether to invoke the tool. The functional content about rules and the leaderboard is more useful but arrives in the second sentence.

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

Completeness3/5

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

For a read-only tool with one optional parameter and no output schema, naming rules and a live leaderboard gives a rough sense of what comes back. It still does not clearly specify the response contents or structure, leaving a meaningful gap for an agent trying to 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%, and the single optional token parameter is already documented there. The description adds no additional meaning about the token or its effect on unread inbox count, so the baseline of 3 applies.

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 names the Open Fire Contest and says it covers rules and a live leaderboard, which is enough to infer that it retrieves contest information. However, it lacks an explicit verb like 'get' and does not directly contrast itself with siblings such as get_join_challenge.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to call this tool versus alternatives. The statements about Sun-approved paid work, no spending, trading, keys, or spam describe contest rules, not tool-selection conditions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources