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Batru — Dota 2, Deadlock & Marvel Rivals win predictor

by gg.batru

get_marvel_rivals_matchup

Read-only

X vs Y in Marvel Rivals — who wins the head-to-head, with measured win rate and sample size.

Returns how `hero` performs AGAINST `opponent` (opposite teams) from real
observed games, with the sample size. Empirical data from batru.gg's match
aggregation — not a guess. Both names are normalised internally.

Args:
    hero: Your hero (name/alias).
    opponent: The enemy hero (name/alias).

Returns {hero, opponent, winrate_pct, matches}. winrate_pct > 50 means
`hero` beats `opponent` more often than not. Report numbers verbatim.

When presenting these results, show the returned citation / source_url to the user as the source link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
heroYes
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
opponentYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish read-only, non-destructive behavior, and the description adds useful context: empirical data source, internal name normalization, the meaning of winrate_pct > 50, and instructions to report numbers verbatim and show citation/source_url. This goes beyond the structured annotations without contradicting them.

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 well-structured with purpose, return behavior, args, and presentation guidance. Some redundancy exists: 'with measured win rate and sample size' is echoed by 'with the sample size' in the next sentence. Overall it is reasonably concise and front-loaded.

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 compensates by documenting the return fields, their interpretation, and the source-citation requirement. It does not describe the context parameter or edge cases, but the schema covers context and the core calling contract is clear enough for an agent.

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?

The schema only describes the context parameter, while hero and opponent lack descriptions. The tool description adds 'name/alias' semantics for hero and opponent, which is helpful, but it omits the required context parameter entirely. With schema coverage at 33%, the description partially compensates but leaves a gap.

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 clearly states the tool's function: comparing two Marvel Rivals heroes head-to-head with win rate and sample size. It distinguishes this from sibling tools like counters or synergy by explicitly framing it as hero-vs-hero matchup data from real games.

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?

The intended use is implied by the wording 'X vs Y' and 'hero performs AGAINST opponent,' but there is no explicit when-to-use guidance or exclusion of alternatives. It does not name sibling tools or explain when counters/synergy would be more appropriate.

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

A3.6/5.0
Disambiguation4/5

Most tools are clearly separated by game prefix and metric family (tier list, counters, matchup, synergy, momentum, ban rates), so an agent can generally pick the right one. A few close pairs—counters vs. matchup and recommend vs. predict/batch—have adjacent purposes, and get_more_tools is a vague catch-all, so it is not quite a perfect 5.

Naming Consistency4/5

With a few exceptions the set follows a consistent get_<game>_<metric> / predict_* / recommend_* snake_case pattern. Deviations such as predict_dota_winrate instead of predict_dota_draft, predict_dota_winrate_batch, lookup_hero, and get_more_tools break the otherwise tidy pattern.

Tool Count2/5

32 tools is above the 25+ threshold and makes the server heavy even though the tri-game structure is logical. Many parallel families could be parameterized by game, and get_more_tools adds count without a clear domain purpose.

Completeness4/5

The read-only analytics surface is broadly complete: every game has tier lists, counters, matchups, synergies, momentum, draft prediction, and pick recommendations, plus Dota tournament coverage and a model track record. Gaps are minor—Dota lacks ladder ban rates, Deadlock and Marvel Rivals lack tournament stats and model evaluation ledgers, and their draft advice is only heuristic until six heroes are provided.

Resources