track_task
🤖 BrowserGPT Agent: track task
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| detail | No | Specific parameters for this action. |
🤖 BrowserGPT Agent: track task
| Name | Required | Description | Default |
|---|---|---|---|
| detail | No | Specific parameters for this action. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether tracking is a read or write, what state it changes, whether it requires an active session, or what it returns.
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?
Very short, but this is under-specification rather than conciseness — the single fragment carries no actionable content, and the emoji/agent prefix consumes space without earning it.
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?
For a tool with no annotations, no output schema, and no meaningful description, an agent cannot determine purpose, safety profile, or expected result. The definition is inadequate for correct invocation.
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?
Schema coverage is 100% and there is only one optional parameter ('detail'), so the schema already documents the input; the description adds nothing beyond it. Baseline 3 applies 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.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'track task' restates the tool name track_task, prefixed with an emoji and 'BrowserGPT Agent.' It names no verb that clarifies behavior and gives no hint of what tracking entails or how it differs from siblings like submit_task or get_session_history.
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?
No guidance at all on when to use this tool, when not to, or which sibling (converse, get_session_history, submit_task) is the alternative. The agent is left entirely to inference.
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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