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miyakejima
by miyakejima

analyze_player_form

Analyze a player's recent form by examining win rate, ELO trajectory, average win time, streaks, and performance by seed type, bastion, and opponent ELO bracket.

Instructions

Analyze a player's recent form over their last N matches. Returns: win rate, ELO trajectory (delta), average win time, win/loss streaks, win rate broken down by seed type (Desert Temple, Shipwreck, etc.), by bastion type (Stables, Treasure, etc.), and by opponent ELO bracket (vs higher/lower rated). Designed for AI coaching-style analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMatches to analyze (default 30, max 50)
seasonNoFilter by season number
identifierYesPlayer username or UUID
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not state whether the tool is read-only, modifies data, or has side effects. As an analysis tool, it is presumably non-destructive, but this is not disclosed.

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 two sentences, with the first sentence clearly stating the purpose and the second listing many output metrics. It is concise but slightly dense; could be broken into bullet points. However, no unnecessary words.

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?

Given the tool's complexity and lack of output schema, the description does a good job listing the various return metrics (win rate, ELO delta, streaks, etc.). It is fairly complete in telling the agent what information to expect, though it does not specify the exact structure (e.g., whether results are nested).

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 input schema covers all parameters with descriptions, so the baseline is 3. The description does not add new parameter-level details beyond the schema; it only provides context on the return values.

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 analyzes a player's recent form over their last N matches, with a specific verb ('analyze') and resource ('player's recent form'). It lists detailed return metrics, making the purpose highly specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus siblings like 'analyze_session_form' or 'get_elo_history'. It only mentions it is 'designed for AI coaching-style analysis,' which is vague and does not help differentiate.

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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