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NFL OL vs DL pass rush and run blocking matchups

invoke_nfl_line_matchups
Read-onlyIdempotent

NFL offensive line vs defensive line matchups for the current week, ranked by pass rush edge, plus RB run blocking. view matchups (default) gives one row per pass rush vs offensive line: dl_rank, ol_rank (1 = best, injuries included), expected pressure rate, expected sacks, expected big events, edge (expected sacks, interceptions and fumbles above an average matchup, per game), tier, injured OL starters and pass rushers, top rushers, and the result once played. The same row carries the run game for off_team running at def_team: run_block_rank (1 = best run blocking line), run_d_rank (1 = toughest run defense), run_edge (adjusted line yards per RB carry above league), run_tier (Big run edge, Run edge, Neutral, Run D edge, Big run D edge), exp_rb_ypc, rb_rush_yds_vs_avg and rb_result. view teams gives all 32 DL and OL ranks with season pressure, sack and blitz rates and OL starters, plus run_block_rank, run_d_rank and season RB YPC and YPC allowed. Use it for DST picks, quarterback pocket risk and RB matchups. Refreshes every 3 hours.

Input Schema

NameRequiredDescriptionDefault
sideNodl sorts biggest pass rush edges first (default); ol sorts biggest offensive line edges first.
teamNoTeam abbreviation; matches either side of a matchup.
tierNo
viewNoDefault matchups.
limitNoMaximum rows to return. The plan limit applies on top.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds freshness ('Refreshes every 3 hours') and notes that ranks include injuries, which the agent would not otherwise know. It does not discuss auth or what happens when no rows match, but the annotation coverage lowers the burden.

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?

Front-loaded with purpose and view split, and every clause carries real information since there is no output schema to describe fields. However, it is one dense run-on paragraph with long field enumerations that would be easier to scan if segmented.

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?

With no output schema and zero required parameters, the description carries the full burden of explaining returns, and it does so field-by-field for both views, including edge definitions and tier vocabularies. An agent has enough to call it and interpret results without extra lookups.

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?

Schema coverage is 80% so the baseline is 3, and the description earns above that by explaining what 'view teams' returns versus 'view matchups' and by defining the meaning of dl_rank/ol_rank and the run-tier labels. It leaves 'side' and 'limit' semantics to the schema, which already documents both.

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?

States a specific resource and scope: NFL OL vs DL matchups for the current week, split into two named views (matchups and teams) with exactly what each returns. An agent can tell this apart from generic siblings like invoke_nfl_game_matchup or invoke_nfl_personnel because the description names line-vs-line pressure/run-blocking ranks explicitly.

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?

Gives concrete use cases: DST picks, quarterback pocket risk and RB matchups, which tells the agent what question this tool answers. It does not name an alternative tool or state when NOT to use it (e.g., versus invoke_nfl_dvp or invoke_nfl_coverage_splits), so it stops short of full routing guidance.

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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