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cappyeo

discord-mcp

members_bulk_ban

Destructive

Ban multiple Discord users in one action (up to 200) for mass moderation or raid response. This destructive operation requires confirmation and a production environment.

Instructions

Purpose: Ban many users at once (1-200 per call). DESTRUCTIVE - IRREVERSIBLE without manual unban.

When to use:

  • Mass moderation (raid response).

When NOT to use:

  • Single user → use members_ban.

Returns: {banned_users:[...], failed_users:[...], banned_count, failed_count}. Discord returns 200 with both arrays even on partial failure.

Security: gated by ConfirmRequired. Pass __confirm:true AND set MCP_DRY_RUN=false to actually bulk-ban.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
guild_idYesGuild to ban from
user_idsYesUsers to ban (1-200 per call)
__confirmNoSet true to authorize this destructive operation. Also requires the server to run with MCP_DRY_RUN=false; otherwise a DRY_RUN_PREVIEW is returned.
audit_reasonNoReason recorded in audit log (X-Audit-Log-Reason header)
delete_message_secondsNoDelete each user's messages from the last N seconds (0..604800 = up to 7 days)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations declare destructiveHint=true, but the description adds valuable context: it is 'IRREVERSIBLE without manual unban', requires ConfirmRequired gating, and explains the dry-run mechanism (`MCP_DRY_RUN=false`). It also discloses partial-failure behavior (Discord returns 200 with both arrays), which is not available from annotations alone.

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 efficiently structured with bold section headers (Purpose, When to use, When NOT to use, Returns, Security). Every sentence adds value, and there is no redundant or filler content. It is appropriately sized for a tool of this complexity.

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?

Despite having a rich output schema, the description provides a complete overview: purpose, usage cases, exclusions, return shape, and security gating. For a destructive operation with 5 parameters, it covers all critical contextual aspects an agent needs to invoke it correctly.

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?

Schema description coverage is 100%, so the baseline is 3. The description does not add parameter-level meaning beyond the schema; it simply restates the purpose and confirmation flow. It correctly aligns with schema but doesn't enrich parameter semantics further.

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 opens with 'Ban many users at once (1-200 per call)', a specific verb+resource+scope that clearly defines the tool's purpose. It distinguishes this bulk operation from sibling `members_ban` by explicitly contrasting single vs. bulk use.

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?

Provides explicit 'When to use' (mass moderation, raid response) and 'When NOT to use' (single user → use members_ban). This gives the agent clear decision criteria for selecting this tool over alternatives, going beyond mere implication.

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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