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get_version

Retrieve full details for a specific published version of an AI agent, including resolved configuration for voice, LLM, language, prompt, detection, and timeouts.

Instructions

Get full details for a specific published version, including its resolved configuration across all sections (voice, LLM, language, prompt, detection, timeouts, etc.). Use list_versions to find version IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agent ID
version_idYesThe published version ID
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It does not disclose whether the operation is read-only, potential errors, authentication requirements, or rate limits.

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 two sentences, front-loading the purpose and key details without any extraneous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (returning resolved configuration across many sections) and the absence of a return schema, the description provides a useful overview but lacks details on structure, error states, or performance considerations.

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 descriptions for both parameters. The description does not add additional meaning for the parameters themselves beyond what is in the schema.

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 action 'Get full details for a specific published version' and lists the sections included (voice, LLM, language, etc.). It distinguishes from sibling tools by advising to use list_versions to find version IDs.

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 indicates when to use this tool (to retrieve full details) and references list_versions as a prerequisite. However, it does not explicitly exclude usage scenarios or mention alternatives like diff_versions.

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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