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resurrect_run

Continue processing a finished Apify run by resurrecting it with the run ID, enabling AI assistants to manage web scraping tasks and data retrieval.

Instructions

Resurrect a finished run to continue processing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYesThe run ID to resurrect
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies mutation ('resurrect') but doesn't disclose behavioral traits such as permissions needed, side effects, rate limits, or what 'continue processing' entails. This is inadequate for a mutation tool with zero annotation coverage.

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 waste. It's front-loaded and appropriately sized for the tool's complexity.

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 the mutation nature, lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'resurrect' means operationally, what happens after resurrection, or error conditions. More context is needed for a tool that modifies state.

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 already documents the 'run_id' parameter. The description adds no additional meaning beyond what the schema provides, such as format examples or constraints. 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 action ('resurrect') and target ('a finished run'), with the purpose being to 'continue processing'. It's specific about what the tool does, though it doesn't explicitly differentiate from siblings like 'abort_run' or 'get_run'.

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 (e.g., the run must be finished), exclusions, or compare it to siblings like 'run_actor' or 'run_task' for new runs.

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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