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GaijinEntertainment

Pararam Nexus MCP

get_user_info

Retrieve detailed user information including name, unique identifier, and team memberships from the Pararam Nexus MCP server by providing a user ID.

Instructions

Get detailed information about a specific user.

Args: user_id: User ID

Returns: ToolResponse with GetUserInfoPayload containing user details including id, name, unique_name, and team memberships

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoError message if operation failed
messageYesHuman-readable summary of the result
payloadNoThe actual response data
successYesWhether the operation was successful
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 of behavioral disclosure. It states the tool returns user details but doesn't cover important aspects like authentication requirements, rate limits, error conditions, or whether it's a read-only operation. The mention of 'Returns: ToolResponse with GetUserInfoPayload' is vague without further context.

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 and well-structured, with a clear purpose statement followed by Args and Returns sections. However, the Returns section could be more streamlined, as it redundantly mentions 'ToolResponse' and 'GetUserInfoPayload' without clarifying their significance.

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 (1 parameter, no annotations, but has an output schema), the description is moderately complete. It covers the basic purpose and return structure, but gaps remain in usage guidelines, behavioral details, and parameter semantics. The output schema existence reduces the need to explain return values, but overall completeness is adequate with room for improvement.

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?

The description adds minimal semantics beyond the input schema, which has 0% description coverage. It specifies that 'user_id' is a 'User ID', but this is basic and doesn't elaborate on format, constraints, or examples. With only one parameter and no schema descriptions, the baseline is 3 as it provides some context but lacks depth.

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 ('Get detailed information') and resource ('about a specific user'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_user_team_status' or 'search_users', which could provide overlapping or alternative user information.

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 like 'get_user_team_status' or 'search_users'. It mentions retrieving 'detailed information' but doesn't specify what contexts or needs warrant this tool over others, 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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