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Discord MCP - Discord server management MCP for AI agents

Discord MCP - Discord server management MCP for AI agents

Update emoji

update_emoji

Rename a custom Discord emoji by specifying its current name or ID and the new name, optionally within a specific guild.

Instructions

Rename a custom emoji.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "emoji": "<emoji>",
      "name": "<name>"
    },
    "name": "update_emoji"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
emojiYesCurrent emoji name or ID.
guildNoGuild (server) name or ID. Omit to use the default guild.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.4.2
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv1.3.0
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observedv1.0.2

TDQS

C2.8/5.0
Behavior2/5

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

Annotations mark it as a non-destructive mutation, but the description adds nothing about what renaming affects (e.g., whether existing message reactions referencing the old name break), permission requirements, or error behavior. For a rename operation the side effects are exactly what the agent needs and they are absent.

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?

A single short sentence with no filler and the key verb front-loaded. It is efficient, but its brevity borders on under-specification for a mutation tool rather than being optimally structured.

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

Completeness3/5

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

For a simple three-parameter mutation with no output schema, the core action is conveyed and the schema covers the required fields, so the definition is minimally workable. However, the optional guild scoping and the consequences of a rename are left entirely unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% and the description contributes nothing: it does not explain that 'emoji' accepts a current name or ID, nor that 'guild' scopes the operation and can be omitted for the default guild. The one-verb sentence adds no meaning beyond the schema's own field descriptions.

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?

States a specific verb and resource: rename a custom emoji. That distinguishes it implicitly from create_emoji and delete_emoji, but it never names siblings or clarifies how it differs from other update_* tools.

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 guidance on when to use this instead of create_emoji/delete_emoji, no mention of prerequisites such as needing manage_emojis permission, and no exclusions. The agent must infer all routing from the name alone.

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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