Skip to main content
Glama
malav-majmudar

NFL Data MCP

get_data_status

Read-onlyIdempotent

Check the coverage and version status of locally cached NFL datasets, including snapshot dates and classification timelines.

Instructions

Report local dataset coverage, snapshot versions, and as-of classifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare the tool as read-only and idempotent. The description adds specificity about the type of report (coverage, versions, classifications) but does not disclose additional behavioral traits such as permissions or resource impact.

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 concise sentence that delivers the core purpose without any redundant words or structural issues.

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 optional parameter is unexplained, and no details on what 'local dataset coverage' or 'snapshot versions' entail, the description is insufficient for a complete agent understanding. The presence of an output schema does not compensate for missing parameter context.

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

Parameters1/5

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

With 0% schema description coverage, the description fails to explain the 'dataset' parameter. It only mentions local dataset coverage without specifying how the parameter influences the output or what valid values are.

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

Purpose5/5

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

The description clearly states the tool reports local dataset coverage, snapshot versions, and as-of classifications, providing a specific verb and resource that distinguishes it from sibling tools focused on game stats or players.

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 explicit guidance on when to use this tool versus siblings or alternatives. The description implies it is for checking data status but does not provide conditions or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/malav-majmudar/nfl-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server