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Present a MaxVideoAI generation

present_generation
Read-only

Use this once to deliver a completed owned MaxVideoAI generation as inline video, image or original Audio in a compatible UI host. First verify completion with get_generation_status or list_recent_generations. Explain that the result is saved in the same connected MaxVideoAI library. If the host does not render the UI, use the returned resource link and library destination as fallback; never invent URLs. Do not poll, generate, retry, confirm, or charge with this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds meaningful behavioral context: the result is already saved in the connected library, the tool must not invent URLs, and it should not poll, retry, confirm, or charge. It does not fully specify the exact return payload shape, but the mention of 'returned resource link and library destination' gives a useful baseline.

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 compact and well ordered: primary purpose first, then mandatory verification, then fallback behavior, then explicit exclusions. Every sentence contributes actionable guidance and there is minimal redundancy.

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 single-parameter presentation tool with rich sibling context, the description covers the key operational aspects: verification, one-time use, UI fallback, URL safety, and persistence of the generation. The main gap is that jobId semantics are undefined, and there is no explicit return contract despite the absence of an output schema, but the description is otherwise sufficient for safe invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one required parameter, jobId, with 0% schema description coverage, so the description carries the full burden. The description never explains what jobId means, where it comes from, or how it relates to a completed generation. The parameter name is somewhat self-explanatory, but the agent is left without explicit guidance on populating it.

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 states a specific verb and resource: 'deliver a completed owned MaxVideoAI generation as inline video, image or original Audio in a compatible UI host.' It also distinguishes itself from siblings by explicitly saying 'Do not poll, generate, retry, confirm, or charge with this tool,' making it clear this is a presentation-only operation, not generation or status checking.

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?

The description gives explicit when-to-use guidance: use once after completion, and verify completion first with get_generation_status or list_recent_generations. It also provides fallback behavior for incompatible hosts and names exclusions such as no retry, no confirm, and no charge, which routes the agent away from unintended operations.

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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