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crowdcent

CrowdCent MCP Server

Official
by crowdcent

get_submission

Retrieve details for a specific prediction submission using its ID to access results and status information.

Instructions

Get details about a specific submission.

Args:
    submission_id: The ID of the submission

Returns:
    Dictionary containing submission details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
submission_idYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool gets details, implying a read-only operation, but does not disclose behavioral traits like error handling, permissions required, rate limits, or what happens if the submission_id is invalid. This leaves significant gaps in understanding how the tool behaves.

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 brief and structured with clear sections for Args and Returns, making it easy to read. However, the 'Returns' section is vague ('Dictionary containing submission details'), which slightly reduces efficiency, but overall it is appropriately sized and front-loaded.

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

Completeness2/5

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

Given no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on return values, error cases, and behavioral context. For a tool with 1 parameter and no structured support, more information is needed to ensure the agent can use it correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It adds that 'submission_id' is 'The ID of the submission,' which provides basic meaning, but does not elaborate on format, constraints, or examples. With 1 parameter and low coverage, this minimal explanation is insufficient for full understanding.

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

Purpose3/5

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

The description states the tool 'Get details about a specific submission,' which clearly indicates its purpose as retrieving information. However, it lacks specificity about what 'details' entail and does not differentiate from sibling tools like 'list_submissions' or 'get_challenge_info,' making it vague in comparison.

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 such as 'list_submissions' or 'get_inference_data_info.' It mentions retrieving details for a specific submission but does not specify contexts, prerequisites, or exclusions, leaving usage unclear.

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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