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call_tool_destructive

Destructive

Execute destructive operations (delete, remove, drop) across MCP servers via this proxy. Requires calling retrieve_tools first and providing a reason for the deletion.

Instructions

Execute a DESTRUCTIVE tool. WORKFLOW: 1) Call retrieve_tools first to find tools, 2) Use the exact 'name' field from results. DECISION RULE: Use this when the tool name contains: delete, remove, drop, revoke, disable, destroy, purge, reset, clear, unsubscribe, cancel, terminate, close, archive, ban, block, disconnect, kill, wipe, truncate, force, hard. Examples: delete_repo, remove_user, drop_table, revoke_access, clear_cache, terminate_session. Use for irreversible or high-impact operations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoArguments to pass to the upstream tool as a native JSON object. Refer to the tool's inputSchema from retrieve_tools for required parameters. Example: {"path": "src/index.ts", "limit": 20}. This is the preferred parameter — it eliminates JSON escaping overhead. Use 'args_json' only if your client cannot produce nested JSON objects.
args_jsonNoLegacy: arguments as a pre-serialized JSON string. Prefer the 'args' parameter instead — it accepts a native JSON object and eliminates escaping overhead. If both are provided, 'args_json' wins for backward compatibility.
intent_data_sensitivityNoClassify data being deleted: public, internal, private, or unknown. Important for tracking destructive operations on sensitive data.
intent_reasonNoWhy is this deletion needed? Provide justification like 'User confirmed cleanup' or 'Removing obsolete data'.
nameYesTool name in format 'server:tool' (e.g., 'github:delete_repo'). CRITICAL: You MUST use exact names from retrieve_tools results - do NOT guess or invent server names. Unknown servers will fail.
Behavior4/5

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

Beyond annotations (destructiveHint=true), description adds context that this is for irreversible/high-impact operations and outlines the workflow. No contradiction with 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?

Well-structured with a clear heading, workflow steps, decision rule, and examples. Every sentence is purposeful and front-loaded with the core purpose.

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 (5 params, nested objects, no output schema), the description covers purpose, usage, decision rule, and parameter guidance. It appropriately references retrieve_tools for more details.

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% with descriptions, but the description adds meaning by explaining the difference between args and args_json (preferred vs legacy) and emphasizing intent_data_sensitivity for tracking. This adds value beyond the schema.

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?

Clearly states it executes destructive tools, provides workflow and decision rule with specific keywords, and distinguishes from sibling tools like call_tool_read and call_tool_write.

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?

Explicitly provides a decision rule based on tool name keywords and a workflow to call retrieve_tools first. Does not explicitly state when not to use, but the rule effectively guides selection.

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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