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bytebot_monitor_task

Monitor an existing task's progress until completion or timeout, tracking status changes with configurable polling intervals and termination conditions.

Instructions

Monitor an existing task until it reaches a terminal state or timeout. Use this when you have already created a task and want to wait for its completion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYesID of the task to monitor
timeoutNoMaximum time to wait in milliseconds. Default: 300000 (5 minutes)
pollIntervalNoHow often to check task status in milliseconds. Default: 2000 (2 seconds)
stopOnStatusNoStop monitoring when task reaches any of these statuses
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the tool monitors until 'terminal state or timeout', which implies it's a blocking/long-running operation, but lacks details on error handling, what happens on timeout, or the format of status updates. For a monitoring tool with no annotation coverage, this leaves gaps in understanding its runtime behavior.

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 two sentences, front-loaded with the core purpose and followed by usage guidance. Every word earns its place with no redundancy or fluff, making it highly efficient and easy to parse.

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

Completeness3/5

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 adequately covers purpose and usage but lacks details on behavioral outcomes (e.g., what is returned, error conditions). For a monitoring tool that likely provides status updates, this leaves the agent without full context on what to expect from the operation.

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 all parameters (taskId, timeout, pollInterval, stopOnStatus). The description adds no additional parameter semantics beyond what's in the schema, such as explaining how 'stopOnStatus' interacts with terminal states. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the specific action ('monitor an existing task') and resource ('task'), distinguishing it from siblings like 'bytebot_create_task' (creation) and 'bytebot_get_task' (one-time fetch). It explicitly mentions the condition 'until it reaches a terminal state or timeout', which clarifies the scope beyond simple 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 provides explicit guidance on when to use this tool ('when you have already created a task and want to wait for its completion'), distinguishing it from alternatives like 'bytebot_create_and_monitor_task' (combined creation and monitoring) and 'bytebot_get_task' (single status check). It effectively sets boundaries for its application.

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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