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Batru — Competitive Game Intelligence for AI Agents

get_synergy

Read-only

Best teammates / duo partners for a hero — measured together-win-rates for Dota 2, Deadlock, Marvel Rivals or League of Legends.

Allies this hero wins MOST and LEAST with, by real observed win rate when
picked together (with sample sizes). Covers Marvel Rivals team-ups too.
The hero name is normalised internally.

Args:
    game: "dota2", "deadlock", "marvel-rivals", or "lol".
    hero: The hero to look up (name/alias/shortName).
    limit: Max partners per direction (default 12).

Report numbers verbatim.

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

Input Schema

NameRequiredDescriptionDefault
gameYesWhich game: "dota2", "deadlock", "marvel-rivals" or "lol" (League of Legends). Required — hero names alone do not identify the game.
heroYesHero name — any alias or short name is accepted and normalised internally. To see every valid hero name for a game, call lookup_hero with an EMPTY query (query="", game=...) — it returns the full roster (displayName + shortName + aliases).
limitNoMax teammates to list per direction (best / worst duos).
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / game / description
      Previous value: -"Which game: \"dota2\", \"deadlock\" or \"marvel-rivals\". Required — hero names alone do not identify the game."New value: +"Which game: \"dota2\", \"deadlock\", \"marvel-rivals\" or \"lol\" (League of Legends). Required — hero names alone do not identify the game."
    • changedInput schema / properties / game / enum
      Previous value: -[
      -  "dota2",
      -  "deadlock",
      -  "marvel-rivals"
      -]New value: +[
      +  "dota2",
      +  "deadlock",
      +  "marvel-rivals",
      +  "lol"
      +]
  2. Changed3 schema fields changed
    • addedInput schema / properties / game / description
      Added value: +"Which game: \"dota2\", \"deadlock\" or \"marvel-rivals\". Required — hero names alone do not identify the game."
    • addedInput schema / properties / hero / description
      Added value: +"Hero name — any alias or short name is accepted and normalised internally. To see every valid hero name for a game, call lookup_hero with an EMPTY query (query=\"\", game=...) — it returns the full roster (displayName + shortName + aliases)."
    • addedInput schema / properties / limit / description
      Added value: +"Max teammates to list per direction (best / worst duos)."
  3. Changed1 schema field changed
    • changedInput schema / properties / context / description
      Previous value: -"Explain 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.\""New value: +"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
  4. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description adds significant operational context beyond the standard safety annotations, such as stating the data is based on 'real observed win rate when picked together' and mandating specific output behavior ('Report numbers verbatim,' 'show the returned citation / source_url').

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 definition is comprehensive, requiring several paragraphs to cover methodology, parameter constraints, and output rules. While slightly verbose, its comprehensive structure ensures that every complex instruction—especially for the 'context' argument—is found and prioritized.

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?

The definition is complete for a complex data retrieval tool. It defines the methodology, the required input framing (context rules), and the expected output format (verbatim numbers, citations), leaving no major ambiguity.

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?

Although schema coverage is 100%, the description provides crucial semantics for non-obvious fields. Specifically, it explains the internal hero name normalization and details the extreme constraints for the 'context' parameter (length, tone, and strict anonymization rules).

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 tool clearly defines its purpose: providing 'Best teammates / duo partners for a hero.' It specifies the metric (together-win-rates) and lists the supported games, immediately distinguishing itself from general win rate or matchup tools.

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 implies the usage scenario (finding duo partners). While it doesn't explicitly state, 'Do not use get_counters,' the clear definition of 'synergy' versus 'counter/matchup' provides adequate guidance 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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