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get_tool_metrics

Retrieve tool-call success, failure, latency, and per-tool metrics from local telemetry to monitor performance and troubleshoot issues.

Instructions

Return tool-call success, failure, latency, and per-tool metrics from local telemetry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNo
all_timeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It conveys that the tool is a read-only operation returning metrics, but does not disclose potential behaviors like required permissions, data aggregation details, or any side effects. For a simple telemetry read tool, this is minimally adequate but lacks depth.

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 a single, well-structured sentence that front-loads the action and specifies key details without wasteful words. Every word contributes meaning.

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?

The tool is relatively simple and has an output schema, so return value details are not required. However, the lack of parameter semantics and usage differentiation makes the description incomplete for an agent to fully understand when and how to use it.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the 'hours' or 'all_time' parameters. The agent must rely on parameter names and defaults to infer meaning, which is a significant gap for correct invocation.

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 function with a specific verb ('Return') and resource ('tool-call success, failure, latency, and per-tool metrics'). It also specifies the source ('local telemetry'), making it distinct from sibling tools like get_recent_tool_calls or get_audit_summary.

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?

No guidance is provided on when to use this tool versus alternatives like get_recent_tool_calls or get_audit_summary. The description does not mention any exclusions or preferred contexts, leaving the agent to infer from the name 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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