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call_tool_destructive

Destructive

Execute high-impact, destructive operations like deletion or revocation on upstream tools. Requires justification and data sensitivity classification for safe execution.

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.
Behavior5/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false. The description reinforces the destructive nature and adds context about irreversibility and the need to use exact names from retrieve_tools, which is valuable beyond annotations.

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?

The description is well-structured with a clear purpose statement, workflow, decision rule, and examples. It is slightly verbose but each part adds value; front-loading the key purpose is effective.

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 absence of an output schema and the complexity of the tool (5 parameters, destructive nature), the description provides essential workflow and decision rules. However, it could be more complete by mentioning error handling or return format.

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 coverage is 100%, with all parameters described in the input schema. The description does not add significant new semantic information about the parameters beyond what is already in the schema, so baseline 3 is appropriate.

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 identifies the tool as executing destructive operations, providing a decision rule with keywords and examples. It effectively 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 Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a workflow to first call retrieve_tools, a decision rule based on tool name keywords, and notes that it's for irreversible or high-impact operations. This provides clear when-to-use guidance.

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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