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malav-majmudar

NFL Data MCP

find_stat_seasons

Read-onlyIdempotent

Find career-high, career-low, first, or last season totals for any NFL statistic. Identify peak or milestone seasons for a player or team.

Instructions

Find career-high, career-low, first, or last season totals for a statistic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statYes
unitYes
limitNo
orderNohighest
valueNo
seasonNo
seasonsNo
entity_idYes
comparisonNogreater_than
entity_typeYes
season_typeNoREG

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds no additional behavioral context beyond what is already captured in annotations, such as any limitations or side effects.

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 concise at one sentence, but for a tool with 11 parameters and no parameter descriptions, it is overly brief. Every word is functional, but the structure lacks additional context or examples that would aid understanding.

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 high parameter count (11) and zero schema description coverage, the description is insufficient. The existence of an output schema is not mentioned, and the agent has no information on return format or pagination, leaving significant gaps.

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?

With 0% schema description coverage, the description does not explain the meaning of parameters like 'order', 'comparison', 'season', or 'seasons'. The phrase 'career-high, career-low, first, or last' hints at ordering but fails to map to specific parameters.

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 specifies the verb 'Find' and the resource 'career-high, career-low, first, or last season totals for a statistic,' which clearly indicates what the tool does. However, it could be more precise about what 'first' or 'last' means in context, and it does not explicitly differentiate from sibling tools like 'get_stat_leaders'.

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 or when not to use it. There is no mention of prerequisites or suitable scenarios, leaving the agent without decision support for tool selection.

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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