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hind77

NetPulse

by hind77

compare_baseline

Compare a device's current CPU or memory usage against its rolling baseline to detect anomalies.

Instructions

Compare a device's current metric value against its rolling baseline.

Args: device: Hostname of the network device. metric: Metric name (cpu_percent, memory_percent). window: Baseline window (for display context, default '24h').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deviceYes
metricYes
windowNo24h

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only states the high-level operation, omitting details like what happens on missing device, invalid metric, or whether the operation is read-only. The term 'rolling baseline' is not explained.

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 extremely concise: one sentence for purpose and three short lines for parameters. No extraneous text, every sentence adds value.

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 the existence of an output schema, the description does not need to detail return values, but it should clarify what 'compare' means (e.g., difference, percentage). The description is minimal and assumes agent knowledge of baselines.

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 schema has 0% description coverage, but the description compensates by adding semantics: device is 'hostname', metric lists allowed values (cpu_percent, memory_percent), window has default and display purpose. This adds needed meaning beyond the schema's type-only fields.

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 tool's purpose: comparing a device's current metric value against its rolling baseline. It uses a specific verb ('compare') and resource ('metric value against baseline'), and is distinct from sibling tools like ping_device or get_device_config.

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 does not mention prerequisites, context, or situations where the tool is applicable or not.

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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