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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

create_policy

Create a new policy draft by providing its fields in camelCase; the backend validates the input and returns the policy with its id and version.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesThe policy's fields as a JSON object (camelCase keys), e.g. { "name": "…", "description": "…" }.
Behavior3/5

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

With no annotations provided, the description carries full burden. It mentions creation returns id and version but does not disclose potential side effects, permissions required, or that it creates a draft (implying non-destructive creation). More transparency could be added.

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 succinct: two sentences covering purpose and usage with no unnecessary words. It is front-loaded with the action.

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 100% schema coverage and no output schema, the description adequately covers purpose, input, and return. It could briefly mention what a policy draft entails, but overall it is complete for a simple creation tool.

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?

The schema already describes the fields parameter; the description adds value by specifying camelCase keys and providing an example. This goes beyond the schema's generic description.

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 policy draft,' using a specific verb and resource. It distinguishes itself from sibling tools like list_policies, read_policy, update_policy, and delete_policy.

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?

The description explains how to use the tool by specifying the fields parameter format (camelCase) and that the backend validates. However, it does not explicitly provide when-to-use vs alternative tools or any exclusions.

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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