VAP Media · Unified MCP Server for AI Agents (Flux · Veo · Suno)

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions listing 'recent' tasks but doesn't define what 'recent' means (e.g., time window, pagination). It also omits details like rate limits, authentication needs, or what happens if no tasks match the filter, leaving significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It front-loads the core action ('List recent generation tasks') and includes the key optional feature ('with optional status filter'), making it appropriately sized and well-structured.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain the return format (e.g., list structure, fields included), how 'recent' is defined, or error handling. For a tool with two parameters and no structured behavioral hints, this leaves the agent with insufficient context for reliable use.

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

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

The input schema has 100% description coverage, with clear documentation for both parameters (status filter and limit). The description adds minimal value by mentioning the optional status filter but doesn't provide additional context beyond what the schema already specifies, such as default behavior or parameter interactions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('recent generation tasks'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from the sibling tool 'get_task', which might retrieve a single task, leaving some ambiguity in sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'get_task' or other generation tools. It mentions an optional status filter but doesn't explain when filtering is appropriate or any prerequisites for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.