Skip to main content
Glama

DeepChamp for Agents

Matchup context

get_matchup_context
Read-onlyIdempotent

Schedule context for one game: each team's last result, rest, and next game. Facts and our computed context only. Research intelligence (probabilities, factors, context), not winning picks. Price: Free, no signup. Research and information, not betting advice. No outcomes are guaranteed. Adults 21+ only, where legal. Problem gambling help: 1-800-MY-RESET.

Input Schema

NameRequiredDescriptionDefault
dateYesEastern (ET) game date, YYYY-MM-DD.
slugYesMatchup slug from the daily slate, for example "celtics-at-knicks".
sportYesSport. One of nba, nfl, mlb, nhl, cfb, cbb, wnba.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds that output is 'facts and our computed context only' and that access is free with no signup, which is modest extra context but says nothing about coverage, freshness, or what happens for a matchup not in the slate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is strong and front-loaded, but it is followed by five sentences of restated legal/positioning boilerplate ('not betting advice', 'no outcomes are guaranteed', '21+ only', 'problem gambling help') that repeat the same disclaimer multiple times and bury the useful content.

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?

With no output schema, the description does tell the agent roughly what comes back (each team's last result, rest, next game) and that results are factual/computed rather than predictive. Only freshness and edge-case behavior for unknown slugs are unaddressed.

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 coverage is 100% and each of the three parameters carries its own description (ET date format, slug format with example, sport enum), so the schema does the heavy lifting. The description adds no parameter-level meaning beyond that baseline.

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 opening sentence names a specific verb+resource+scope: 'Schedule context for one game' and enumerates the fields (last result, rest, next game), which implicitly contrasts with the season-level get_daily_slate. It is clear but never names the sibling it complements.

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

Usage Guidelines3/5

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

'for one game' implies this is the per-matchup drill-down after listing a slate, but the description never states when to call this instead of get_daily_slate or what prerequisite (a slug from the slate) is needed. Usage is inferable, not stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources