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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

read_policy_version

Retrieve a specific historical version of a policy by its checkpoint number to compare differences before rolling back.

Instructions

Read one historical version of a policy by its CHECKPOINT NUMBER (an integer like 3, from the version field in list_policy_versions) — not by its versionId. Use it to diff two versions before rolling back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe policy's id.
versionYesThe integer checkpoint number, e.g. 3.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It confirms a read operation and clarifies parameter semantics, but lacks details on error conditions, permissions, or idempotency. For a simple read, this is adequate but not thorough.

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 sentences, front-loaded with the action, no unnecessary words. Every sentence adds value.

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?

For a simple read tool with good schema coverage, the description covers the action, key parameter guidance, a use case, and sibling context. It does not describe output format, but the lack of output schema reduces that burden.

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 clear descriptions. The description adds context by linking the checkpoint number to list_policy_versions output, but this is supplementary rather than essential, 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 states the tool reads a historical policy version by checkpoint number. It specifies the resource (policy version) and verb (read), and distinguishes it from other version lookups by emphasizing checkpoint number vs versionId.

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 provides a concrete use case ('diff two versions before rolling back') and warns against using versionId, helping agents choose correctly. It does not explicitly list alternatives but the context is sufficient.

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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