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Find bye-week conflicts on a roster

get_bye_conflicts
Read-onlyIdempotent

Given a list of players, report which bye weeks two or more of them share. Use this for roster planning and draft questions about stacking byes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playersYesPlayer names, two or more.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe draftcall.io page these figures came from. This is the citation to use.
seasonYesThe season these bye weeks belong to.
conflictsYesOne entry per week where two or more of the named players are out together. Empty when there are none.
refreshed_atYesWhen this dataset was last refreshed, as an ISO 8601 timestamp.
stats_seasonYesThe completed NFL season every figure in this result describes.

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds that conflicts are reported only when two or more players share a bye week, which is useful but does not disclose additional behavioral details such as output ordering or handling of unmatched players.

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 deliver the core behavior and intended use with no filler. The operation is front-loaded and every sentence earns its place.

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

Completeness5/5

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

The tool has one well-documented parameter, strong annotations, and an output schema. The description covers what the tool does, how to use it, and when to use it, leaving no meaningful gap for an agent to call it correctly.

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?

Schema description coverage is 100%, with the players parameter already described as 'Player names, two or more.' The description's phrase 'Given a list of players' adds no new semantic detail beyond the schema, so the baseline of 3 applies.

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 states a specific verb and resource: given a list of players, report shared bye weeks. It clearly distinguishes itself from sibling tools like get_player and compare_players by focusing on bye-week conflict aggregation.

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?

The description explicitly gives the intended use: roster planning and draft questions about stacking byes. It does not name alternative tools or exclusions, but the use case is clear enough for an agent to select this over siblings.

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.