CrowdCent MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns a dictionary with challenge details, which is helpful, but doesn't cover other important aspects: whether this requires authentication, if there are rate limits, what specific details are included, or if it's idempotent. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is very concise with only two sentences, and it's front-loaded with the core purpose. The second sentence about the return value adds useful information without redundancy. However, it could be slightly more structured by explicitly stating there are no parameters or including a brief example, but overall it's efficient.

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

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

Given the tool's simplicity (0 parameters, no annotations, no output schema), the description is adequate but has clear gaps. It explains what the tool does and the return type, but lacks context on usage, behavioral details, or how it fits with siblings. For a basic read operation, this is minimally viable but could be more complete by addressing when to use it or what 'current challenge' means.

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

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

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description doesn't need to explain any parameters, which is appropriate. It could theoretically mention that no parameters are required, but this is implied by the empty schema, so a baseline of 4 is justified for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Get detailed information about the current challenge.' This specifies the verb ('Get') and resource ('current challenge'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'list_all_challenges' or 'get_inference_data_info', which prevents a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when this tool is appropriate, what prerequisites might exist (e.g., needing a current challenge set), or how it differs from siblings like 'list_all_challenges'. This lack of context leaves the agent to infer usage from the tool name alone.

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