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iRockyZhou

warcraftlogs-mcp

by iRockyZhou

Get damage taken

get_damage_taken
Read-onlyIdempotent

Retrieve bounded damage-taken evidence from Warcraft Logs reports. Maps playerID to the correct source filter so you can inspect damage a selected player received.

Instructions

Get bounded damage-taken evidence. WCL table semantics require playerID as sourceID for the selected player perspective.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoAPI region for a bare report code. Full URLs select their own region.
reportYesA 16-character report code or supported report URL.
endTimeNoRelative report timestamp in milliseconds.
fightIDNoFight ID, or "last". A selector in the report URL is used when omitted.
playerIDNoPlayer report actor ID. The tool maps it to the correct source/target filter.
abilityIDNo
startTimeNoRelative report timestamp in milliseconds.
translateNo
accessModeNoauto uses user authorization when available; user requires it; public never uses it.auto
maxEntriesNo
maxPayloadBytesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds some real context ("bounded" result set, WCL table semantics mapping playerID to sourceID), but says nothing about return shape, pagination, or how maxEntries/maxPayloadBytes truncate results.

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?

Two short sentences with no filler, and the resource is front-loaded. It is efficient, though the second sentence is dense WCL jargon that could be clearer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter tool with no output schema and a nearly identical sibling, the description is far too thin: it omits the distinction from get_fight_damage_taken, filtering/scope behavior, and any notion of what the bounded result contains.

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?

Schema coverage is 64%, above the baseline threshold, and the description does add a meaningful semantic note that playerID is mapped to sourceID for the selected player perspective. However, it says nothing about abilityID, translate, maxEntries, or maxPayloadBytes, so it only partially compensates for the uncovered parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (damage taken) but wraps it in vague phrasing ("bounded damage-taken evidence") and never distinguishes it from the near-identical sibling get_fight_damage_taken or from get_fight_damage/get_damage_done. An agent cannot tell from this text which damage-taken variant to pick.

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?

There is no when-to-use guidance, no prerequisites, and no named alternative despite three closely related siblings in the toolset. The second sentence reads as a parameter caveat rather than routing guidance, leaving selection entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.