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Glama

get_power_balance

Read-only

Assesses measured power ratios against the strongest opponent per dimension, returning a five-tier situation judgment that tells you whether to survive, hold, or press your advantage.

Instructions

实测我方与对手的差距,给出五档局势判定(被碾压/落后/势均力敌/领先/统治级)。

不看难度名 —— 难度加成表在导出数据里是空的,而且难度可能随机。
判据是各维度「我 / 该维最强对手」的实测比值。这是决定整套打法的分档:
劣势档要停扩张求生,领先档要主动兑现优势。每 10 回合简报里会自动带一行,
本工具用于随时重测。

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With only readOnlyHint given, the description adds real behavioral context: it explicitly does not key off difficulty names because the difficulty bonus table is empty and difficulty may be random, and it discloses the underlying criterion (measured ratio per dimension). That methodology disclosure is valuable beyond the annotations, though return-shape detail is left to the output schema.

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?

Front-loads what it returns (five tiers), then the criterion, then strategic meaning, then the re-measurement use case. The difficulty-table remark earns its place by pre-empting a wrong inference, but the text is slightly longer than strictly necessary.

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?

An output schema covers the return values, annotations cover safety, and there are no parameters. The description supplies everything else an agent needs: the tier semantics, the measurement basis, and the decision it drives.

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?

Zero parameters, so there is nothing to document and the baseline is 4. The description correctly implies a no-argument full re-evaluation rather than a filtered query.

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?

States a concrete verb+resource (measure our side vs. opponents' power gap) and a concrete output (five-tier judgment with named tiers). It does not explicitly contrast itself with adjacent siblings like get_victory_progress or get_game_overview, so it falls short of full sibling differentiation.

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?

Gives clear use context: the 10-turn briefing already carries a line, and this tool exists for ad-hoc re-measurement at any time. It also explains what the result implies (stop expanding in a disadvantage tier, cash in advantages when leading). It stops short of naming alternatives or exclusions.

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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