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bryan3eng

Fantasy Football Data MCP Server

by bryan3eng

sportmicro_get_player_statistics

Retrieve documented player statistics for football players to analyze performance, compare players, and guide fantasy lineup decisions.

Instructions

Get documented Sportmicro player statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations at all, the description carries the full behavioral burden, and it discloses almost nothing: no auth requirements, no rate limits, no statement of whether the result is a single player or a batch, and no indication of what 'documented' means. It does not contradict anything, but it adds no behavioral 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?

A single short, front-loaded sentence with no wasted clauses. It is efficient, though 'documented' is filler that could have been replaced with substantive scope information.

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?

For a zero-parameter tool with no annotations and no output schema, the description is the only source of information, and it says nothing about what fields are returned, which players are covered, or how results are scoped. The open 'additionalProperties: true' schema also leaves the agent unsure whether filtering is even possible, and the description never resolves that.

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 takes zero parameters, so there is nothing for the description to clarify and the baseline of 4 applies. The schema is an unconstrained object, so no parameter detail is being missed.

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 names a verb ('Get') and a resource ('player statistics'), which separates it on paper from the projections siblings in the same family. However, the qualifier 'documented' is undefined and no scope (season, game, aggregation level) is given, so the agent cannot tell what statistics actually come back.

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?

There is no guidance on when to use this tool rather than sportmicro_get_player_projections, _week, _season, or _get_players. The agent must infer the distinction between historical statistics and projections on its own.

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