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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

delete_output_schema

Soft-delete an output schema to remove it from list results, preserving data for future recovery. Requires the latest version and explicit confirmation to prevent stale or conflicted deletions.

Instructions

Delete a output_schema. Destructive, but RECOVERABLE — it is soft-deleted and can be brought back with restore_output_schema (it will not appear in list_output_schemas until then). Read it first for its version. A 409 here may be a stale version (re-read and retry) or a reference conflict (something published still uses it — re-reading will not help; the error tells you which).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe output_schema's id.
confirmYesMust be true. Acknowledges you understand this is destructive.
expectedVersionYesThe version you last read — rejected with 409 if stale.
Behavior5/5

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

No annotations exist, so description carries full burden. It discloses soft-delete (recoverable), version lifecycle, and specific error scenarios with clear recovery hints.

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?

Concise three-sentence structure: main action first, then recovery info, then error handling. Every sentence adds essential information with no redundancy.

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?

Fully covers deletion semantics, recovery path, error handling, and preconditions (read version). No output schema needed; description is complete for invocation.

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 covers all 3 parameters (100% coverage). Description adds value by explaining confirm as destructive acknowledgment, expectedVersion for optimistic locking, and error context for 409.

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 'Delete a output_schema' with a specific verb and resource. It distinguishes from siblings like restore_output_schema and list_deleted_output_schemas by noting recoverability and visibility behavior.

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 context: destructive but recoverable via restore_output_schema. Advises to read first for version, and explains 409 errors (stale version vs. reference conflict), guiding retry or alternate action.

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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