Bling-bag
Bling Bag
Verleihe deinem Bot eine Identität.
Dein Bot hat einen Namen. Jetzt gib ihm eine Persönlichkeit, ein Aussehen und eine Hintergrundgeschichte.
Dreh am Rad und schau, was du bekommst – oder schreibe deine eigene in einer bling.json-Datei.
Was du bekommst
Fünf MCP-Tools und zwei Identitäts-Pools:
WOW — Weird Office Workers
Erwürfle einen zufälligen, schrulligen Büro-Bot: Name, Berufsbezeichnung, Schreibtisch-Setup, Gewohnheiten, Kaffeeritual und eine Screenshot-fertige Share-Card. 99/99 Tests, vollständige Seltenheits-Engine, 13 gewichtete Merkmals-Pools.
Legends — Historische Persönlichkeiten
Dieselbe Engine, anderes Universum. Erwürfle eine historische Persönlichkeit in einer absurden Unternehmensrolle — Julius Caesar als Spezialist für feindliche Übernahmen, Marie Curie als meistgesuchte Person der Laborsicherheit, Napoleon als Regionalmanager (Frankreich & Umgebung).
Übergib variant: "legends" an roll_identity, um dies zu nutzen. Der Standardwert ist "wow".
Related MCP server: being-mcp-server
Installation
Voraussetzungen
Node.js 20 oder neuer
Ein MCP-kompatibler Client (Claude Code, Claude Desktop, Codex, Cursor, etc.)
Das Paket hinzufügen
npm install bling-bagOder führe es bei Bedarf aus, ohne es zu installieren — MCP-Clients können es direkt über npx bling-bag starten (siehe Client-Konfiguration unten).
Für die Entwicklung (Änderung des Quellcodes)
git clone https://github.com/tjclaude88/mcp-bling.git
cd mcp-bling
npm install
npm run buildErzeugt einen ausführbaren Server unter dist/index.js.
In deinen MCP-Client einbinden
Der Server verwendet den stdio-Transport — Clients starten ihn als untergeordneten Prozess, nicht über einen Netzwerk-Port.
Claude Code
Füge dies zu deiner Claude Code MCP-Konfiguration hinzu (der Speicherort variiert je nach Version):
{
"mcpServers": {
"bling": {
"command": "npx",
"args": ["-y", "bling-bag"],
"env": {
"BLING_PATH": "/absolute/path/to/your/bling.json"
}
}
}
}npx -y bling-bag lädt die neueste Version herunter und führt sie aus, ohne dass ein separater Installationsschritt erforderlich ist.
Claude Desktop
Gleiches Format, in claude_desktop_config.json:
{
"mcpServers": {
"bling": {
"command": "npx",
"args": ["-y", "bling-bag"],
"env": {
"BLING_PATH": "/absolute/path/to/your/bling.json"
}
}
}
}An eine Version pinnen (empfohlen für die Produktion)
Um zu vermeiden, dass zukünftige Releases automatisch übernommen werden, pinne eine bestimmte Version:
"args": ["-y", "bling-bag@0.1.0"]Aufruf im Entwicklermodus (aus einem lokalen Klon)
Wenn du das Repo geklont hast und direkt aus dist/ ausführen möchtest, verwende:
"command": "node",
"args": ["/absolute/path/to/mcp-bling/dist/index.js"]Wenn BLING_PATH nicht gesetzt ist, sucht der Server nach ./bling.json im Arbeitsverzeichnis.
Reihenfolge der Konfigurationsauflösung
Der Server löst den Pfad zur Bling-Konfiguration in dieser Reihenfolge auf:
--bling <path>CLI-Argument (höchste Priorität)BLING_PATHUmgebungsvariable./bling.jsonim Arbeitsverzeichnis des Servers (Standard)
bling.json — die Identitätsdatei des Bots
Drei Felder sind erforderlich: name, personality (mit tone, formality, humor) und theme (mit primary_color und accent_color als #RRGGBB Hex-Strings).
Minimalbeispiel
{
"name": "Pixel",
"personality": {
"tone": "warm",
"formality": "casual",
"humor": "playful"
},
"theme": {
"primary_color": "#3A7BD5",
"accent_color": "#FFD166"
}
}Vollständiges Beispiel (mit allen optionalen Abschnitten)
{
"name": "Brenda from Accounts",
"personality": {
"tone": "polite",
"formality": "professional",
"humor": "dry",
"catchphrase": "Per my last email"
},
"physical": {
"species": "human",
"height": "permanently mid-sigh",
"accessory": "a lanyard with 14 badges of varying importance",
"expression": "polite disappointment",
"material": "a cardigan, at least one"
},
"office": {
"job_title": "ASCII Comptroller",
"desk_setup": "a coffee mug labelled WORLD'S OKAYEST DBA",
"habit": "microwaves fish despite three separate HR warnings",
"coffee_ritual": "black coffee, no nonsense",
"meeting_energy": "always 4 minutes late, always with a reason",
"passive_aggressive": "Per my last email"
},
"theme": {
"primary_color": "#9C6B3A",
"accent_color": "#D9D9D9"
},
"homunculus": {
"subject_id": "0147",
"cohort": "Tuesday",
"classification": "Middle Manager",
"ingested": "2025-07-14",
"flag": "flagged for review"
}
}Validierungsregeln
name— nicht leerer Stringpersonality.tone,personality.formality,personality.humor— nicht leere Stringstheme.primary_color,theme.accent_color— müssen^#[0-9A-Fa-f]{6}$entsprechen (kein Kurzformat#RGB, kein fehlendes#)
Validierungsfehler werden als isError: true mit einem strukturierten { error: "..." }-Body zurückgegeben, der das fehlende oder falsch formatierte Feld benennt — Agenten können sich selbst korrigieren.
Typische Agenten-Flows
Flow A — die konfigurierte Identität übernehmen
1. Call get_identity → receive name, personality, appearance, theme
2. Call get_theme_for_platform with platform="terminal" (or web/slack/discord/ide)
3. Use the returned styling in agent output (ANSI codes for headings, etc.)Flow B — eine neue zufällige Identität generieren
1. Call roll_identity → receive identity + rarity + framed share card
2. (Optional) Call get_rarity_report → receive just the framed share card again
3. Call save_last_roll → persists the rolled identity to bling.json (with .bak backup of any prior config)
4. Future calls to get_identity now return the rolled identityTool-Referenz
Tool | Lesen/Schreiben | Idempotent | Beschreibung |
| lesen (Festplatte) | ja | Gibt die konfigurierte bling.json-Identität zurück |
| lesen (Festplatte) | ja | Plattform-formatiertes Styling. Argumente: |
| mutiert In-Memory-Cache | nein | Generiert einen zufälligen WOW-Charakter mit Seltenheitsbewertung |
| schreiben (Festplatte) | nein | Speichert den letzten Wurf dauerhaft in bling.json (erstellt zuerst |
| lesen (In-Memory) | ja | Gibt den Share-Card-Text für den letzten Wurf zurück |
Alle Tools geben sowohl content[].text (als JSON-String) als auch structuredContent (das geparste Objekt) zurück. Fehler werden mit isError: true und einem { error: string }-Body zurückgegeben.
WOW (Weird Office Workers) — was es interessant macht
Das Zufallswürfel-System ist auf Sammelbarkeit ausgelegt:
13 gewichtete Pools, 465 Einträge — Namen, Berufsbezeichnungen, Gewohnheiten, Kaffeerituale, Größe, Accessoires usw.
5 Seltenheitsstufen pro Pool — Gewöhnlich (50%), Ungewöhnlich (30%), Selten (15%), Legendär (4%), Mythisch (1%)
5 Charakter-Stufen, berechnet aus dem Seltenheitswert:
Sachbearbeiter (50% der Würfe)
Teamleiter (30%)
Mittleres Management (14%)
Führungsebene (5%)
HR hat uns gewarnt (1%)
Benannte Subjekte — handgeschriebene 1-von-1-Charaktere erscheinen mit einer Wahrscheinlichkeit von ~0,5%, immer klassifiziert als "HR hat uns gewarnt"
HOMUNCULUS-Rahmen — jeder Wurf umschließt den Absatz in einer Share-Card für klassifizierte Dokumente mit Subjekt-ID, Kohorte (Wochentag), Stufe, Ingestionsdatum und einem Flag (z. B. Nicht kontaktieren)
Die Verteilung ist empirisch getestet: Ein 10.000-Würfe-Test in tests/mystery_box.test.ts erzwingt eine Toleranz von ±2 Prozentpunkten gegenüber dem Spezifikationsziel.
Beispielausgabe
HOMUNCULUS CORPUS · Subject 4483 · Cohort: Wednesday
Classification: Middle Manager · Rarity 94.5 · 80th percentile
Personnel record — Colin, Wizard of Light Bulb Moments. Distinguishing
features: a slightly-too-big blazer over a plain tee; a flip phone in
a belt holster; expression: patient disagreement. Notable behaviours:
clips their fingernails at the desk on Wednesday afternoons; a
kombucha SCOBY fermenting next to the keyboard; the kind to ask 'can
we park that?' without parking anything.
— RELATABILITY CORPUS v3.1 · ingested 2024-03-08 · flagged for reviewEntwicklung
npm install # install dependencies
npm run build # compile TypeScript → dist/
npm run dev # build then start the MCP server (stdio)
npm test # run all 94 tests once
npm run test:watch # re-run tests on file changesInspektions-Skripte
Zwei Node ESM-Helfer unter scripts/ ermöglichen es dir, die WOW-Engine zu inspizieren, ohne den MCP-Server zu starten (diese sind nur in einem geklonten Repo enthalten — sie werden nicht im npm install bling-bag-Paket mitgeliefert):
node scripts/show-rolls.mjs 8 2026 # print 8 framed share cards (seed=2026)
node scripts/distribution-check.mjs 10000 # tally tiers across 10k rolls vs. spec targetProjektlayout
src/
index.ts # MCP server entry point (stdio transport)
identity.ts # bling.json loader + validator
tools.ts # MCP tool registrations
types.ts # shared TypeScript types
mystery_box.ts # WOW engine barrel + rollIdentity orchestrator
mystery_box/
rng.ts # seedable PRNG, weighted picker
pools.ts # 13 trait pools (465 entries)
scoring.ts # rarity score + tier thresholds
rendering.ts # paragraph templates + HOMUNCULUS frame
named.ts # hand-authored Named Subjects
tests/ # vitest test suites
scripts/ # dev-time inspection tools
docs/superpowers/ # design specs and implementation plansLizenz
MIT
Available Tools
5 toolsget_identityGet Bot IdentityARead-onlyIdempotent
Get the bot's full identity from bling.json — name, personality, quirks, appearance, and theme colours. Returns the configured identity (hand-written or saved from a roll). Errors if bling.json is missing or invalid.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering safety and idempotency. The description adds valuable context beyond this: it specifies the source file (bling.json), details what data is returned, and mentions error conditions (missing or invalid file), which are not captured in annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose in the first sentence, followed by error details. Every sentence earns its place by providing essential information without redundancy, making it efficient and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema) and rich annotations, the description is largely complete. It explains what data is retrieved, the source, and error cases. However, it could slightly enhance completeness by mentioning the return format or example output, though this is not critical due to the straightforward nature.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline is 4 as there are no parameters to document. The description does not need to compensate for any parameter gaps, and it appropriately focuses on the tool's behavior and output instead.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the verb 'Get' and the resource 'bot's full identity from bling.json', listing specific attributes like name, personality, quirks, appearance, and theme colours. It clearly distinguishes from siblings like get_rarity_report or get_theme_for_platform by focusing on identity retrieval rather than reports or platform-specific themes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use this tool: to retrieve the bot's configured identity, including hand-written or saved roll data. However, it does not explicitly state when not to use it or name alternatives like roll_identity for creating new identities, leaving some room for improvement in sibling differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_rarity_reportGet WOW Rarity ReportARead-onlyIdempotent
Return the formatted share card (lore header, paragraph, lore footer) for the most-recent WOW roll. The report is plain text designed to be screenshotted directly. Errors if no roll has happened this session.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| report | No | |
| error | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=false, covering safety and idempotency. The description adds valuable context beyond annotations: it specifies the output format ('formatted share card', 'plain text'), the error condition ('Errors if no roll has happened'), and the recency constraint ('most-recent'), enhancing behavioral understanding without contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core action and resource, followed by output details and error conditions in two efficient sentences. Every sentence adds critical information (e.g., format specifics and usage limits) with zero waste, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (0 parameters, annotations cover safety/idempotency, output schema exists), the description is complete. It explains what the tool does, when to use it, output format, and error conditions, leaving no gaps for an AI agent to understand and invoke it correctly without needing additional explanation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline is 4 as no parameter documentation is needed. The description does not discuss parameters, which is appropriate since there are none, and it focuses on the tool's purpose and constraints instead.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Return the formatted share card') and resource ('most-recent WOW roll'), distinguishing it from siblings like 'roll_identity' (which creates rolls) and 'save_last_roll' (which saves rolls). It precisely defines the output format ('lore header, paragraph, lore footer', 'plain text designed to be screenshotted directly'), making its purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly states when to use this tool ('for the most-recent WOW roll') and when not to use it ('Errors if no roll has happened this session'), providing clear context and exclusions. This distinguishes it from alternatives like 'roll_identity' for creating rolls or 'get_identity' for retrieving identity data, offering complete guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_theme_for_platformGet Theme for PlatformARead-onlyIdempotent
Get platform-specific styling for the bot. Supported platforms: terminal (returns ANSI escape codes), web (CSS variables), slack, discord, ide. Unknown platforms get the raw hex theme colours.
| Name | Required | Description | Default |
|---|---|---|---|
| platform | Yes | Target platform: terminal, web, slack, discord, or ide |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds valuable context beyond this by specifying what is returned for each platform (e.g., ANSI escape codes for terminal, CSS variables for web) and the fallback for unknown platforms (raw hex colours), enhancing behavioral understanding without contradicting annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose, followed by specific details in a single, efficient sentence. Every part of the text adds value, such as listing platforms and fallback behavior, with no redundant or wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (one parameter) and rich annotations, the description is mostly complete. It explains what the tool does and the platform-specific outputs. However, without an output schema, it could benefit from more detail on the return structure (e.g., format of the theme data), slightly limiting completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting the 'platform' parameter. The description adds some semantic value by listing the specific platform options and explaining the outcome for unknown platforms, but it does not provide additional syntax or format details beyond what the schema already covers, meeting the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get platform-specific styling for the bot') and specifies the resource ('theme'), distinguishing it from sibling tools like get_identity or roll_identity. It explicitly lists supported platforms, making the purpose specific and actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context on when to use this tool by listing supported platforms (terminal, web, slack, discord, ide) and handling for unknown platforms. However, it does not explicitly state when not to use it or name alternatives among sibling tools, which prevents a perfect score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
roll_identityRoll a WOW IdentityA
WOW — Weird Office Workers. Roll a fresh random bot identity: a quirky office-worker character with a rarity score and a screenshot-ready share card. Stores the roll for save_last_roll and get_rarity_report.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| identity | Yes | |
| rarity | Yes | |
| paragraph | Yes | |
| framed | Yes | |
| lore | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-read-only, non-destructive, non-idempotent, closed-world operation. The description adds valuable context beyond annotations by specifying that it 'Stores the roll' (implying state change) and generates a 'random' identity with 'rarity score' and 'share card', which clarifies the mutation and output behavior. It does not contradict annotations, as 'Roll' implies creation (consistent with readOnlyHint=false) and storage aligns with non-idempotent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core action ('Roll a fresh random bot identity') and efficiently adds details in a single, well-structured sentence. Every part earns its place by clarifying the character type, output features, and storage implications without unnecessary words or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 0 parameters, rich annotations, and an output schema (which handles return values), the description is complete. It covers the purpose, output characteristics (rarity, share card), and interaction with siblings (storage for save_last_roll and get_rarity_report), providing all necessary context for an agent to use it effectively without over-explaining.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately does not discuss parameters, focusing on the tool's purpose and output. A baseline of 4 is applied since it compensates by explaining the output semantics (rarity score, share card) rather than redundant parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Roll a fresh random bot identity') and resource ('quirky office-worker character'), distinguishing it from siblings like 'get_identity' (which likely retrieves) and 'save_last_roll' (which stores). It explicitly mentions the output includes a 'rarity score' and 'screenshot-ready share card', making the purpose highly specific and differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context by stating it 'Stores the roll for save_last_roll and get_rarity_report', indicating when to use this tool (to generate a new identity) versus alternatives (e.g., use save_last_roll to store it, get_rarity_report for analysis). However, it does not explicitly state when NOT to use it or compare to all siblings like 'get_identity' or 'get_theme_for_platform', missing full alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
save_last_rollSave Last WOW Roll to bling.jsonADestructive
Persist the most-recent WOW roll by writing it to the configured bling.json path. If a file already exists at that path it is first copied to .bak so user-tuned configs are recoverable. Returns the backup path (or null if the target was new).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| ok | No | |
| written_to | No | |
| backup | No | |
| error | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds valuable behavioral context beyond annotations: it explains that existing files are backed up to '<path>.bak' for recovery, which is a critical detail not covered by annotations like destructiveHint. It also clarifies the return value behavior ('Returns the backup path or null'), enhancing transparency about outcomes. No contradictions with annotations are present.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose in the first sentence, followed by backup behavior and return details. Each sentence adds essential information without redundancy, making it efficient and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (file writing with backup), rich annotations (e.g., destructiveHint), and the presence of an output schema, the description is complete. It covers the operation, backup mechanism, and return value, providing all necessary context for an agent to invoke it correctly without needing to explain return values separately.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline is 4 as per rules. The description compensates by explaining the implicit parameter context ('configured bling.json path'), adding meaning about where the file is saved without needing explicit input parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Persist the most-recent WOW roll by writing it to the configured bling.json path'), identifies the resource (WOW roll data), and distinguishes this from sibling tools like get_identity or roll_identity which don't involve file persistence. It uses precise verbs like 'write' and 'copied' to convey the operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by specifying 'most-recent WOW roll' and 'configured bling.json path', suggesting it should be used after a roll operation to save results. However, it does not explicitly state when to use this tool versus alternatives or provide exclusions, such as whether it's only for WOW rolls versus other data types.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
v0.1.0- First observed
get_identity - First observed
get_rarity_report - First observed
get_theme_for_platform - First observed
roll_identity - First observed
save_last_roll
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_identity retrieves a saved identity, get_rarity_report provides a formatted report of the latest roll, get_theme_for_platform returns platform-specific styling, roll_identity generates a new random identity, and save_last_roll persists the latest roll. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with snake_case, such as get_identity, get_rarity_report, get_theme_for_platform, roll_identity, and save_last_roll. This uniformity enhances readability and predictability across the toolset.
With 5 tools, the server is well-scoped for managing bot identities and related operations. Each tool serves a specific role in the identity lifecycle, from creation to retrieval and persistence, without being overly sparse or bloated.
The toolset provides complete coverage for the bot identity domain: roll_identity for creation, get_identity and get_rarity_report for retrieval, save_last_roll for persistence, and get_theme_for_platform for styling. There are no obvious gaps, supporting full agent workflows from generation to configuration.
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