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list_tasks

Retrieve recent AI media generation tasks with optional status filtering to monitor processing, completed, pending, or failed operations.

Instructions

List recent generation tasks with optional status filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoFilter by task status
limitNoMaximum number of tasks to return

Implementation Reference

  • The handler function `handle_tools_call` delegates the "list_tasks" tool execution to the upstream MCP API via the `make_request` helper function, as it is not explicitly intercepted in the local `handle_tools_call` logic.
    def handle_tools_call(params: Dict) -> Dict:
        """
        Handle tools/call request.
    
        Directive #240: Special handlers for video tools.
        """
        tool_name = params.get("name", "")
        arguments = params.get("arguments", {})
    
        # ═══════════════════════════════════════════════════════════════════
        # VIDEO TOOL HANDLERS (Directive #240)
        # ═══════════════════════════════════════════════════════════════════
    
        if tool_name == "generate_video":
            return _handle_generate_video(arguments)
    
        if tool_name == "estimate_video_cost":
            return _handle_estimate_video_cost(arguments)
    
        if tool_name == "get_task":
            return _handle_get_task(arguments)
    
        # Default: forward to MCP API
        response = make_request("/tools/call", {
            "name": tool_name,
            "arguments": arguments
        })
        return response
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions 'recent' tasks but doesn't define what 'recent' means (time window, pagination). No information about permissions, rate limits, error handling, or what the output looks like (structure, fields).

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 a single, efficient sentence with zero wasted words. It's front-loaded with the core purpose and includes the key optional feature. Every word earns its place.

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

Completeness2/5

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

For a list operation with no annotations and no output schema, the description is insufficient. It doesn't explain what 'recent' means, the output format, pagination behavior, or error cases. Given the complexity of task management systems, more context is needed for effective use.

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 description coverage is 100%, so the schema fully documents both parameters. The description adds no additional meaning beyond implying filtering by status is optional, which is already clear from the schema's optional status parameter. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose4/5

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') with an optional filter. It distinguishes from siblings like 'get_task' (singular) by indicating it returns multiple tasks, but doesn't explicitly contrast with other list-like operations that might exist.

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

Usage Guidelines2/5

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. It doesn't mention prerequisites, appropriate contexts, or compare with sibling tools like 'get_task' for single-task retrieval or 'get_operation' which might have overlapping functionality.

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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