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list_user_runs

Retrieve and filter all user runs across Apify actors to monitor execution status, track progress, and manage workflows efficiently.

Instructions

Get list of all runs for the current user across all actors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetNoNumber of records to skip (default: 0)
limitNoMaximum number of records to return (default: 20)
statusNoFilter by status: READY, RUNNING, SUCCEEDED, FAILED, TIMING-OUT, TIMED-OUT, ABORTING, ABORTED
descNoSort in descending order, newest first (default: true)
Behavior2/5

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 states it retrieves a list but doesn't describe pagination behavior (implied by offset/limit), rate limits, authentication requirements, or what happens if no runs exist. This is inadequate for a tool with potential side effects like data retrieval.

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 that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse and understand quickly.

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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain return values (e.g., format of the list, what fields are included), error conditions, or behavioral details like pagination. For a list retrieval tool with multiple parameters, this leaves significant gaps for an AI agent.

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?

The input schema has 100% description coverage, documenting all four parameters (offset, limit, status, desc) with defaults and enums. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage.

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 action ('Get list') and resource ('runs for the current user across all actors'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_actor_runs' or 'list_task_runs', which might have overlapping functionality.

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 like 'list_actor_runs' or 'get_last_run'. It lacks context about prerequisites, such as authentication or user-specific access, and doesn't mention any exclusions or when-not-to-use scenarios.

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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