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dylangroos

NHL MCP Server

by dylangroos

get-player-landing

Retrieve detailed NHL player information by providing a player ID, such as stats and team affiliation, through the NHL MCP Server.

Instructions

Get information about an NHL player

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerIdYesNHL player ID (e.g. 8478402 for Connor McDavid)
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 only states the action ('Get information') without details on permissions, rate limits, response format, or potential errors. For a tool with no annotations, this leaves significant gaps in understanding how it behaves beyond basic functionality.

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

Conciseness5/5

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

The description is a single, efficient sentence with no wasted words. It is appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration, making it easy for an agent to parse quickly.

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 the lack of annotations and output schema, the description is incomplete. It does not specify what information is returned (e.g., stats, bio, career details), leaving the agent uncertain about the tool's output. For a tool with no structured data beyond the input schema, more context is needed to be fully helpful.

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 input schema has 100% description coverage, with the parameter 'playerId' clearly documented as 'NHL player ID (e.g. 8478402 for Connor McDavid)'. The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting.

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's purpose as 'Get information about an NHL player', which is clear but vague. It specifies the resource (NHL player) and verb (get information) but lacks specificity about what information is retrieved, making it less distinct from potential sibling tools like 'get-team-roster' or 'get-skater-leaders' that might also provide player details.

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?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools available (e.g., 'get-team-roster', 'get-skater-leaders'), the description does not indicate if this is for general player profiles, specific stats, or other data, leaving the agent to guess based on 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.

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