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Batru — Dota 2, Deadlock & Marvel Rivals win predictor

by gg.batru

get_marvel_rivals_hero_momentum

Read-only

Which Marvel Rivals heroes are rising or falling in the meta — win-rate momentum.

Compares each hero's win rate over the last 14 days vs the prior 14 days —
real trend data from batru.gg's match aggregation, not a guess. Windows may
cross a season boundary: early in a new season, the delta largely reads as
"what the season shift changed", which is the most useful signal then.
`season` in the result is the current season, for context.

Args:
    hero: Optional — a specific hero to look up. Empty returns the top
        risers and fallers overview.
    limit: Max risers/fallers to return in overview mode (default 10).

Returns {season, window_days, data_through, ...} plus either one hero's
{hero, wr_recent_pct, wr_prev_pct, delta_pp, n_recent, n_prev} or
{risers:[...], fallers:[...]}. delta_pp is percentage-point change; small
deltas (<1pp) are noise — say so rather than over-reading them.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
heroNo
limitNo
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."

TDQS

A4.7/5.0
Behavior5/5

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

The description adds substantial behavioral context beyond the readOnly/openWorld annotations: data comes from batru.gg match aggregation, windows may cross season boundaries, season is context, and delta_pp below 1pp should be treated as noise. It also instructs the agent to surface the citation/source_url, which is important for responsible presentation.

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?

The description is front-loaded with the core purpose, then uses labeled Args/Returns sections and a final presentation note. Every sentence adds value: season-boundary nuance, noise guidance, and citation handling are all relevant. No filler or repetition.

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 present, the description provides a thorough return shape for both overview and single-hero modes, explains key fields like delta_pp, and covers interpretation caveats. An agent has enough information to call the tool, interpret the result, and present it appropriately.

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 only 33%, but the description compensates well: it defines hero as optional, explains that an empty value returns the risers/fallers overview, and clarifies that limit caps risers/fallers in overview mode with a default of 10. The required context parameter is left to the schema, but its purpose is already well-documented there.

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 opens with a specific purpose: identifying which Marvel Rivals heroes are rising or falling in the meta via win-rate momentum. It states the exact comparison window (last 14 days vs prior 14 days) and distinguishes this from static tier-list or counter tools by emphasizing trend data.

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 clearly establishes when to use the tool: to see meta momentum rather than static rankings. It also gives practical interpretation advice around season boundaries and small deltas. It does not explicitly name sibling alternatives or say when not to use it, but the context is strong enough for selection.

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