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Bling-bag

Name: Bling-bag
Author: tjclaude88

by tjclaude88

Overview Schema Source Related Servers Discussions Admin

TypeScript

Local

Bling Bag

Dale una identidad a tu bot.

Tu bot tiene un nombre. Ahora dale una personalidad, un aspecto y una historia de fondo.

Gira la ruleta y mira lo que obtienes, o escribe la tuya propia en un archivo bling.json.

npm version Glama

Qué obtienes

Cinco herramientas MCP y dos grupos de identidad:

WOW — Weird Office Workers (Trabajadores de oficina extraños)

Genera un bot de trabajador de oficina peculiar al azar: nombre, cargo, configuración del escritorio, hábitos, ritual de café y una tarjeta para compartir lista para capturas de pantalla. 99/99 pruebas, motor de rareza completo, 13 grupos de rasgos ponderados.

Legends — Figuras históricas

El mismo motor, diferente universo. Genera una figura histórica en un papel corporativo absurdo: Julio César como Especialista en Adquisiciones Hostiles, Marie Curie como la más buscada por Seguridad de Laboratorio, Napoleón como Gerente Regional (Francia y áreas circundantes).

Pasa variant: "legends" a roll_identity para usarlo. El valor predeterminado es "wow".

Related MCP server: being-mcp-server

Instalación

Requisitos previos

Node.js 20 o posterior
Un cliente compatible con MCP (Claude Code, Claude Desktop, Codex, Cursor, etc.)

Añadir el paquete

npm install bling-bag

O ejecútalo bajo demanda sin instalarlo: los clientes MCP pueden iniciarlo directamente mediante npx bling-bag (consulta la configuración del cliente a continuación).

Para desarrollo (modificar el código fuente)

git clone https://github.com/tjclaude88/mcp-bling.git
cd mcp-bling
npm install
npm run build

Produce un servidor ejecutable en dist/index.js.

Conéctalo a tu cliente MCP

El servidor utiliza transporte stdio: los clientes lo inician como un proceso hijo, no a través de un puerto de red.

Claude Code

Añádelo a tu configuración de MCP de Claude Code (la ubicación varía según la versión):

{
  "mcpServers": {
    "bling": {
      "command": "npx",
      "args": ["-y", "bling-bag"],
      "env": {
        "BLING_PATH": "/absolute/path/to/your/bling.json"
      }
    }
  }
}

npx -y bling-bag descarga y ejecuta la última versión sin requerir un paso de instalación separado.

Claude Desktop

La misma forma, en claude_desktop_config.json:

{
  "mcpServers": {
    "bling": {
      "command": "npx",
      "args": ["-y", "bling-bag"],
      "env": {
        "BLING_PATH": "/absolute/path/to/your/bling.json"
      }
    }
  }
}

Fijar una versión (recomendado para producción)

Para evitar obtener futuras versiones automáticamente, fija una versión específica:

"args": ["-y", "bling-bag@0.1.0"]

Invocación en modo desarrollador (desde un clon local)

Si has clonado el repositorio y quieres ejecutarlo directamente desde dist/, usa:

"command": "node",
"args": ["/absolute/path/to/mcp-bling/dist/index.js"]

Si BLING_PATH no está configurado, el servidor busca ./bling.json en su directorio de trabajo.

Orden de resolución de configuración

El servidor resuelve la ruta de configuración de bling en este orden:

Argumento CLI --bling <path> (prioridad más alta)
Variable de entorno BLING_PATH
./bling.json en el directorio de trabajo del servidor (predeterminado)

`bling.json` — el archivo de identidad del bot

Se requieren tres campos: name, personality (con tone, formality, humor) y theme (con primary_color y accent_color como cadenas hexadecimales #RRGGBB).

Ejemplo mínimo

{
  "name": "Pixel",
  "personality": {
    "tone": "warm",
    "formality": "casual",
    "humor": "playful"
  },
  "theme": {
    "primary_color": "#3A7BD5",
    "accent_color": "#FFD166"
  }
}

Ejemplo completo (con todas las secciones opcionales)

{
  "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"
  }
}

Reglas de validación

name — cadena no vacía
personality.tone, personality.formality, personality.humor — cadenas no vacías
theme.primary_color, theme.accent_color — deben coincidir con ^#[0-9A-Fa-f]{6}$ (sin abreviaturas #RGB, sin falta de #)

Los errores de validación se devuelven como isError: true con un cuerpo estructurado { error: "..." } que nombra el campo faltante o mal formado; los agentes pueden autocorregirse.

Flujos típicos de agentes

Flujo A — adoptar la identidad configurada

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.)

Flujo B — generar una nueva identidad aleatoria

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 identity

Referencia de herramientas

Herramienta	Leer/Escribir	Idempotente	Descripción
`get_identity`	leer (disco)	sí	Devuelve la identidad de bling.json configurada
`get_theme_for_platform`	leer (disco)	sí	Estilo con formato de plataforma. Args: `platform` ∈ {`terminal`, `web`, `slack`, `discord`, `ide`}
`roll_identity`	muta caché en memoria	no	Genera un personaje WOW aleatorio con puntuación de rareza
`save_last_roll`	escribir (disco)	no	Persiste la última tirada en bling.json (crea `<path>.bak` primero)
`get_rarity_report`	leer (en memoria)	sí	Devuelve el texto de la tarjeta para compartir de la última tirada

Todas las herramientas devuelven tanto content[].text (cadena JSON) como structuredContent (el objeto analizado). Los errores se devuelven con isError: true y un cuerpo { error: string }.

WOW (Weird Office Workers) — qué lo hace interesante

El sistema de tirada aleatoria está diseñado para ser coleccionable:

13 grupos ponderados, 465 entradas — nombres, cargos, hábitos, rituales de café, altura, accesorios, etc.
5 bandas de rareza por grupo — Común (50%), Poco común (30%), Raro (15%), Legendario (4%), Mítico (1%)
5 niveles de personaje calculados a partir de la puntuación de rareza:
- Empleado de archivo (50% de las tiradas)
- Líder de equipo (30%)
- Gerente intermedio (14%)
- C-Suite (5%)
- RRHH nos advirtió sobre él (1%)
Sujetos nombrados — personajes únicos creados a mano aparecen con una probabilidad de ~0.5%, siempre clasificados como "RRHH nos advirtió sobre él"
Marco HOMUNCULUS — cada tirada envuelve el párrafo en una tarjeta para compartir de documento clasificado con ID de sujeto, cohorte (día de la semana), nivel, fecha de ingestión y una bandera (p. ej., No contactar)

La distribución está probada empíricamente: una prueba de 10k tiradas en tests/mystery_box.test.ts aplica una tolerancia de ±2pp respecto al objetivo de la especificación.

Ejemplo de salida

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 review

Desarrollo

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 changes

Scripts de inspección

Dos ayudantes ESM de Node en scripts/ te permiten inspeccionar el motor WOW sin iniciar el servidor MCP (estos se incluyen solo en un repositorio clonado; no se envían en el paquete npm install bling-bag):

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 target

Diseño del proyecto

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 plans

Licencia

MIT

Available Tools

5 tools

get_identityGet Bot IdentityA

Read-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.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A4.4/5.0

Behavior4/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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 ReportA

Read-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.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
`report`	No
`error`	No

TDQS

A4.7/5.0

Behavior4/5

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.

Conciseness5/5

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.

Completeness5/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines5/5

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 PlatformA

Read-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.

ParametersJSON Schema

Name	Required	Description	Default
`platform`	Yes	Target platform: terminal, web, slack, discord, or ide

TDQS

A4.2/5.0

Behavior4/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters3/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
`identity`	Yes
`rarity`	Yes
`paragraph`	Yes
`framed`	Yes
`lore`	Yes

TDQS

A4.5/5.0

Behavior4/5

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.

Conciseness5/5

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.

Completeness5/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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.jsonA

Destructive

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).

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
`ok`	No
`written_to`	No
`backup`	No
`error`	No

TDQS

A4.7/5.0

Behavior5/5

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.

Conciseness5/5

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.

Completeness5/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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 updatesv0.1.0Apr 19, 2026
- First observedget_identity
- First observedget_rarity_report
- First observedget_theme_for_platform
- First observedroll_identity
- First observedsave_last_roll

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.6/5.0

Scored 2026-04-19 16:45 across 5 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness5/5

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.

Maintenance

ActivitySlowing

ResponsivenessNo issues

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Bling Bag

Qué obtienes

WOW — Weird Office Workers (Trabajadores de oficina extraños)

Legends — Figuras históricas

Instalación

Requisitos previos

Añadir el paquete

Para desarrollo (modificar el código fuente)

Conéctalo a tu cliente MCP

Claude Code

Claude Desktop

Fijar una versión (recomendado para producción)

Invocación en modo desarrollador (desde un clon local)

Orden de resolución de configuración

bling.json — el archivo de identidad del bot

Ejemplo mínimo

Ejemplo completo (con todas las secciones opcionales)

Reglas de validación

Flujos típicos de agentes

Flujo A — adoptar la identidad configurada

Flujo B — generar una nueva identidad aleatoria

Referencia de herramientas

WOW (Weird Office Workers) — qué lo hace interesante

Ejemplo de salida

Desarrollo

Scripts de inspección

Diseño del proyecto

Licencia

Available Tools

Output Schema

Output Schema

Output Schema

Tool Schema Changelog

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

`bling.json` — el archivo de identidad del bot