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nexo_task_frequency

Identify overdue operational tasks by comparing last execution dates with configured frequencies to maintain schedule compliance.

Instructions

Check which operational tasks are overdue based on their frequency.

Compares last execution date vs configured frequency. Returns overdue tasks or 'all tasks up to date'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 explains the core logic ('Compares last execution date vs configured frequency') and return behavior ('Returns overdue tasks or 'all tasks up to date''), which is useful. However, it lacks details on permissions needed, whether it's read-only (implied but not stated), error handling, or data sources. It adds value but leaves gaps 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.

Conciseness5/5

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

The description is highly concise and well-structured: two sentences that front-load the purpose ('Check which operational tasks are overdue...') followed by implementation details and return values. Every sentence adds value without redundancy, making it efficient for an agent to parse.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (simple check with 0 params), no annotations, and an output schema (which covers return values), the description is reasonably complete. It explains what the tool does, how it works, and what it returns. However, it lacks context on integration with sibling tools (e.g., how it relates to 'nexo_task_list') and behavioral nuances like error cases, which holds it back from a perfect score.

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?

The tool has 0 parameters with 100% schema description coverage (schema is empty object). The description doesn't need to explain parameters, and it doesn't add any param-specific info beyond the schema. Baseline is 4 for 0 parameters, as there's nothing to compensate for, and the description doesn't introduce confusion.

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 tool's purpose: 'Check which operational tasks are overdue based on their frequency.' This specifies the verb ('Check'), resource ('operational tasks'), and criteria ('overdue based on frequency'). It distinguishes from sibling tools like 'nexo_task_list' (which likely lists tasks without overdue analysis) and 'nexo_task_log' (which likely logs task history). However, it doesn't explicitly mention how it differs from these siblings, keeping it from 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 (e.g., whether tasks must be configured first), compare it to siblings like 'nexo_task_list' for general listing, or specify scenarios where this check is appropriate (e.g., periodic audits vs. on-demand queries). The agent must infer usage from the purpose alone.

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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