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Get Thinking Statistics

getThinkingStats

Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.

Instructions

Get overall thinking process statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorNo
successYes
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states this is a 'get' operation, implying read-only behavior, but doesn't specify any constraints like authentication needs, rate limits, or what 'overall' entails (e.g., aggregated data, real-time vs. historical). This leaves significant gaps in understanding how the tool behaves.

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, clear sentence with no wasted words. It's front-loaded with the core purpose and appropriately concise for a simple tool with no parameters.

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 tool has 0 parameters, 100% schema coverage, and an output schema exists, the description is minimally adequate. However, it lacks context about what 'overall thinking process statistics' includes (e.g., metrics like thought count, duration, efficiency), which could help the agent interpret results without relying solely on the output schema.

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, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, which is efficient. A baseline of 4 is applied since no parameters exist, and the description doesn't add unnecessary details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get overall thinking process statistics' clearly states the action (get) and resource (thinking process statistics), which is adequate. However, it doesn't differentiate from similar sibling tools like getMemoryStats or getThinkingProgress, leaving ambiguity about what specific statistics this tool provides versus those alternatives.

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. With multiple sibling tools like getMemoryStats and getThinkingProgress that also retrieve statistical or progress data, the agent has no indication of which tool is appropriate for different scenarios, such as overall process metrics versus memory-specific stats.

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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