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telemetry_history

Get historical telemetry values for trend analysis. Returns time-series data for a specific device and telemetry path.

Instructions

Get historical telemetry values for trend analysis.

Returns time-series data for a specific telemetry path on a device.

Args: device: Name of the device as defined in devices.yaml path: Telemetry path name (e.g. 'interface_counters') count: Number of historical data points (default: 20)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deviceYes
pathYes
countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It fails to mention side effects, rate limits, data volume expectations, permissions, or error handling. Only basic parameterization is covered, leaving significant gaps.

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 concise and front-loaded with the main purpose. The parameter block is clear, though it could be slightly more integrated. No filler or redundant information is present.

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 an output schema exists, the description does not need to detail return fields, but it only vaguely describes the output as 'time-series data.' It also lacks information about error conditions or data source. The parameter explanations are strong, but overall completeness is adequate but not thorough.

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

Parameters5/5

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

The description adds substantial meaning beyond the input schema, which has no field descriptions. It explains that 'device' refers to a name in devices.yaml, provides an example for 'path', and defines 'count' as the number of data points with a default. This fully compensates for the missing schema descriptions.

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: 'Get historical telemetry values for trend analysis' and mentions it returns time-series data. However, it does not explicitly differentiate this tool from similar sibling tools like 'telemetry_query' or 'telemetry_list_subscriptions', which could lead to ambiguity.

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. There is no mention of appropriate contexts, prerequisites, or exclusions, leaving the agent without direction on 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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