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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

create_tool

Create a new tool draft by providing entity fields in camelCase. The backend validates and returns the tool with its id and version.

Instructions

Create a new tool draft. Pass the entity's fields (camelCase) in fields; the backend validates them. Returns the created tool with its id and version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesThe tool's fields as a JSON object (camelCase keys), e.g. { "name": "…", "description": "…" }.
Behavior4/5

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

No annotations provided, but the description discloses creation of a draft (not published), backend validation, and return of id/version. It does not mention any destructive actions or auth requirements, which is acceptable for a simple create tool.

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?

Two concise sentences with no wasted words. The key information is front-loaded and easy to parse.

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?

With one parameter, no output schema, and no annotations, the description is reasonably complete. It explains input and output, though it could elaborate on what constitutes a valid tool draft or constraints on fields.

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% for the single 'fields' parameter. The description adds an example and reiterates camelCase, but does not significantly expand beyond the schema. 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 states 'Create a new tool draft' using a specific verb-resource pair. It distinguishes from sibling tools like list_tools, read_tool, update_tool by focusing on creation.

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?

It provides clear usage instructions: pass fields in camelCase, backend validates, returns id and version. However, it lacks explicit guidance on when not to use it (e.g., vs update_tool or if requirements are unmet).

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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