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get_session_stats

Read-only

Monitor session performance by retrieving per-tool latency and total tokens saved, enabling data-driven optimization of resource usage.

Instructions

Session self-monitor: returns {latency_per_tool, total_tokens_saved}. Lightweight; reads the in-memory latency ring + persistent savings counter. For windowed analysis use analyze_perf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true. Description adds that it reads in-memory latency ring and persistent savings counter, and is lightweight. Provides good context beyond 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?

Two sentences, no wasted words. Purpose and key details front-loaded.

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

Completeness5/5

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

Simple tool with no parameters and annotations present. Description specifies return shape, usage guidance, and behavioral notes, making it fully complete.

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?

No parameters, schema coverage 100%. Baseline of 4 is appropriate; no additional parameter info needed.

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?

Description clearly states it returns latency_per_tool and total_tokens_saved. Mentions sibling 'analyze_perf' for windowed analysis, distinguishing usage.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'For windowed analysis use analyze_perf', providing clear when-to-use and when-not-to-use guidance. Also describes it as lightweight.

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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