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Batru — Dota 2, Deadlock & Marvel Rivals win predictor

by gg.batru

get_deadlock_hero_momentum

Read-only

Which Deadlock 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 major-update boundary: right after an update, the delta largely
reads as "what the update changed", which is the most useful signal then.

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 {patch, 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

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and non-destructive behavior, and the description adds valuable behavioral context beyond that: data provenance from batru.gg, the update-boundary caveat, the 'small deltas are noise' guidance, and the requirement to surface citation/source_url. There is no contradiction with the annotations.

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 efficiently structured in short labeled sections: purpose, behavioral caveat, args, returns, and presentation instruction. Each sentence adds directly to correct usage and interpretation; there is no fluff or repetition that weakens it.

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?

Given there is no output schema, the description robustly documents the return envelope ({patch, window_days, data_through, ...}) and the two possible payload shapes, plus the meaning of delta_pp. It also covers the noise guideline and source citation expectation, so an agent has enough to call and present the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is low (33%), but the description fully compensates by explaining hero's optional semantics and the empty-value overview behavior, and limit's role as the cap on risers/fallers. It also ties parameter choices to the two possible return shapes. The context parameter is already thoroughly documented in the schema.

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 compares each Deadlock hero's win rate over the last 14 days vs the prior 14 days and returns rising/falling lists or a single hero's momentum. It is specific in verb, resource, and scope, and differentiates from sibling tier-list and matchup tools through the 'win-rate momentum' framing and the Deadlock-specific data source.

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 makes the use case obvious: when a user wants to know which Deadlock heroes are gaining or losing meta traction. It also explains why the update-boundary behavior matters and how to interpret small deltas. However, it does not explicitly name alternatives or state when not to use this tool, so it stops short of full comparative 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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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