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Search NFL players

search_players
Read-onlyIdempotent

Find players by partial name, team abbreviation, or position. Use this when a name is ambiguous or only partly known before calling the other tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesPartial name, team abbreviation (e.g. "KC"), or position.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe draftcall.io page these figures came from. This is the citation to use.
countYes
queryYes
playersYes
refreshed_atYesWhen this dataset was last refreshed, as an ISO 8601 timestamp.
stats_seasonYesThe completed NFL season every figure in this result describes.

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds little behavioral context beyond the search intent; it does not mention result ordering, pagination, or matching behavior. This is acceptable but not rich.

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?

Two concise sentences, front-loaded with the functional purpose and followed by a usage cue. No wasted words or repetitive schema restatement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with two parameters, an output schema is present, and annotations cover safety. The description gives enough context for selecting the tool, though it could briefly clarify the limit parameter's role. Overall, it is complete for its complexity.

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?

Schema description coverage is only 50%, because the limit parameter has no schema description. The description mostly restates the query parameter's meaning and does not explain limit behavior, defaults, or constraints, leaving the undocumented parameter uncompensated.

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 states a clear verb and resource: find players by partial name, team abbreviation, or position. It also positions the tool as a pre-step before using other player tools, which distinguishes it from sibling tools, though it does not name a specific alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says to use this when a name is ambiguous or only partly known before calling the other tools, giving a clear context. It does not list explicit when-not-to-use conditions or name specific sibling alternatives, but the guidance is still actionable.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct query type: single-player lookup, two-player comparison, rankings, scarcity, ADP gaps, schedule, bye conflicts, weekly matchup, search, and claim verification. Even related tools like compare_players and get_player have clearly separated purposes that an agent can reliably distinguish.

Naming Consistency4/5

Seven tools follow the get_ noun pattern, while search_players, compare_players, and verify_claim use verb_noun without get. The convention is still highly readable and predictable, with only minor deviations.

Tool Count5/5

Ten tools is well-scoped for a fantasy football data server. Each tool covers a meaningful slice of draft, in-season, and fact-checking workflows without unnecessary overlap or bloat.

Completeness4/5

The set covers player lookup, head-to-head comparison, rankings, scarcity, schedule, bye conflicts, weekly matchups, and stat verification. A direct standalone ADP lookup and projections are missing, but agents can work around those gaps using the provided tools.