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dayz-agentic-modding-mcp

knowledge_scope

Set or clear the active DayZ mod set to control which mod folders answer API queries. Narrow answers to selected mods, with refusals naming the mod that holds found items, or clear scope to restore full index coverage.

Instructions

Declare, inspect or clear the active mod set.

With no arguments it reports the set in force and every mod folder the dependency layer holds, so a caller can see what there is to choose from.

mods=[...] narrows every knowledge answer to those mod folders. The game and the project's own code always answer -- the game is the substrate a DayZ mod is written against, and the project layer is the code being written, so narrowing either would report "no such class" about code you are looking at.

Nothing is hidden by the narrowing. A search whose answer lies in a mod outside the set does not come back empty: it comes back naming the mod that holds it, and it comes back as a refusal, so it cannot be read as "no such thing". That is the whole point of the feature -- an invisible narrowing is the same silent lie as an answer from a stale layer.

source is free text saying where the set came from ("the server at

clear=True returns the index to answering from every mod it holds. An empty mods=[] is refused rather than read as "narrow to nothing": those are different requests and only one of them is ever meant.

The set is stored beside the index and survives a restart. It is NOT changed by server_mods, which only proposes one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modsNo
noteNo
clearNo
sourceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
hintNo
errorNo
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the set persists across restarts, that clear resets it, that server_mods does not modify it, and that empty mods array is refused. It also explains that narrowing affects knowledge answers. This is comprehensive, though the repetitive and metaphorical wording ('silent lie') may confuse rather than clarify.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is excessively verbose and repetitive. Similar concepts ('narrow', 'silent lie', 'narrowing') are restated multiple times with poetic metaphors. While it has a logical flow (declaration, per-parameter explanations, persistence note), the length and redundancy severely hurt readability and quick comprehension.

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?

The description covers essential behavioral aspects: how the tool behaves with no arguments, with mods, clear, source, persistence across restarts, and its relationship to server_mods. It also mentions edge cases (empty mods list). Since an output schema exists, return values need not be explained. Overall, it is complete despite being over-embellished.

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?

The schema provides no descriptions, so the tool description must compensate. It explains mods (narrows answers, empty array refused), clear (resets to all mods), and source (free text label). Note is not mentioned, but the other three parameters are well described, adding significant meaning beyond the raw schema.

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?

The description opens with a clear statement of purpose: 'Declare, inspect or clear the active mod set.' This distinguishes it from siblings like knowledge_find or server_mods, though the subsequent verbose metaphors could obscure the core functionality for some agents.

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

Usage Guidelines3/5

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

The description explains behavior under different arguments (no args, mods, clear, source) and contrasts with server_mods, but does not explicitly say 'use this when you need to scope knowledge queries' or provide direct comparison with alternative tools like knowledge_find or world_* tools. Guidance is implied rather than stated.

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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