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crowdcent

CrowdCent MCP Server

Official
by crowdcent

list_all_challenges

Retrieve all available prediction challenges from the CrowdCent platform to view details and datasets for analysis and participation.

Instructions

List all available challenges.

Returns:
    Dictionary containing list of challenges with their details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states what the tool does and mentions the return format. It doesn't describe important behavioral aspects like whether this is a read-only operation, if it requires authentication, if there are rate limits, pagination behavior, or what happens when no challenges exist. For a tool with zero annotation coverage, this is insufficient.

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?

The description is appropriately concise with two sentences that each serve a clear purpose. The first sentence states the tool's function, and the second describes the return format. There's no wasted verbiage or redundant information. However, it could be slightly more structured with clearer separation between purpose and return details.

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?

Given the tool's simplicity (0 parameters, no annotations, no output schema), the description is minimally adequate. It covers the basic purpose and return format. However, for a list operation that likely interacts with a challenge system, it should ideally mention whether this lists all challenges globally, for a specific user, or within some context. The absence of output schema means the description should do more to explain the return structure.

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 has 0 parameters with 100% schema description coverage. The description correctly doesn't waste space describing non-existent parameters. Since there are no parameters to document, the baseline score of 4 is appropriate - the description focuses on what matters (the tool's purpose and return value) without unnecessary parameter discussion.

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 tool's purpose with a specific verb ('List') and resource ('all available challenges'). It distinguishes from some siblings like 'get_challenge_info' (which gets details for a specific challenge) and 'list_submissions' (which lists submissions rather than challenges). However, it doesn't explicitly differentiate from all siblings like 'list_training_datasets'.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to use 'list_all_challenges' versus 'get_challenge_info' (for specific challenge details) or 'switch_challenge' (which likely changes active challenge). No explicit when/when-not instructions or alternative tool references are provided.

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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