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nexo_task_log

Log operational task execution details including task number, name, execution summary, and reasoning for tracking and analysis.

Instructions

Record that an operational task was executed.

Args: task_num: Task number from the checklist (e.g., '7', '7b'). task_name: Task name (e.g., 'Google Ads'). notes: Execution summary (optional). reasoning: WHY this task was executed now — what triggered it (optional).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_numYes
task_nameYes
notesNo
reasoningNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 of behavioral disclosure. It implies a write operation ('record'), but doesn't specify permissions, side effects, or response format. The description lacks details on what happens after logging (e.g., where the record is stored, if it's immutable), which is critical for a tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the purpose, followed by parameter explanations. It uses bullet points for clarity and avoids unnecessary words. However, the 'Args:' section could be integrated more seamlessly, and the purpose sentence is slightly verbose.

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 that there's an output schema (which handles return values), the description doesn't need to explain outputs. However, with no annotations and a write operation implied, it should provide more behavioral context (e.g., confirmation of logging, error conditions). The parameter explanations are good, but overall completeness is adequate with room for improvement.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It effectively explains all 4 parameters: 'task_num' as 'Task number from the checklist', 'task_name' as 'Task name', 'notes' as 'Execution summary', and 'reasoning' as 'WHY this task was executed now'. This adds clear meaning beyond the bare schema, though it could include examples for all parameters to reach a 5.

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 purpose: 'Record that an operational task was executed.' It specifies the verb ('record') and resource ('operational task'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'nexo_task_list' or 'nexo_task_frequency', which prevents a perfect score.

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, timing, or how it relates to sibling tools such as 'nexo_task_list' (which might list tasks) or 'nexo_decision_log' (which might log decisions). This leaves the agent without context for tool selection.

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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