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Inspect client localStorage, sessionStorage, and feature flags

lol_cdp_storage
Read-onlyIdempotent

Inspect League client localStorage and sessionStorage via CDP to extract settings, feature flags, cached configs, and themes. Filter keys or values and redact sensitive tokens.

Instructions

Inspects the League client Chromium Embedded Framework (CEF) localStorage and sessionStorage entries. Extracts active client-side settings, feature flags, cached configurations, and theme preferences. Supports case-insensitive substring filtering on keys and values, JSON auto-parsing, and automatic redaction of auth tokens, passwords, and sensitive cookies. Prerequisite: Requires Chrome DevTools Protocol (CDP) enabled via Pengu Loader; check lol_status if connection fails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items to return per storage type
filterNoCase-insensitive substring filter for key or value
parseJsonNoAttempt to parse JSON-encoded strings into structured objects
storageTypeNoStorage mechanism to queryall

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.0

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare it read-only, idempotent, and non-destructive, and the description adds substantial behavior beyond them: automatic redaction of auth tokens/passwords/sensitive cookies, JSON auto-parsing, and the CDP-via-Pengu-Loader prerequisite. These are exactly the operational and sensitivity details an agent needs before invoking.

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?

Four sentences, front-loaded with what it inspects, then behavior, then the prerequisite. Each sentence carries information; density is high but nothing is redundant filler.

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?

No output schema exists, so return shape is not documented; the description covers sensitive-data redaction and prerequisites well but does not describe the response structure for local/session storage results. Given the read-only annotations and complete param coverage, remaining gaps are minor.

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?

Schema coverage is 100%, so the baseline is 3, but the description restates the filtering (case-insensitive substring across keys and values) and JSON parsing semantics coherently in prose, aiding invocation. It does not add syntax or format detail beyond the schema, and storageType is only implied by the title.

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?

States a specific verb (Inspects) and resource (CEF localStorage/sessionStorage entries) and elaborates the concrete content types it extracts (settings, feature flags, cached configs, themes). An agent can distinguish it from generic data tools like lol_get or lol_eval because the resource and scope are explicit.

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?

Provides a clear prerequisite (CDP must be enabled via Pengu Loader) and names a concrete fallback action (check lol_status if the connection fails), which is real when-to-use guidance. It does not, however, contrast the tool against close siblings like lol_dom_query or lol_eval, so it stops short of explicit alternative selection.

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