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analyse_conversation_patterns

Identify and analyze conversation patterns to detect trends, improve response accuracy, and optimize dialogue flows.

Instructions

Analyze conversation patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations and no behavioral description, the agent cannot infer safety (read-only vs. destructive), resource usage, or side effects. The description does not compensate for missing annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence is concise but fails to inform. It is under-specification rather than efficient communication.

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

Completeness1/5

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

Despite having an output schema, the missing parameter semantics and lack of usage guidance make the description inadequate for an AI agent to use the tool correctly.

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

Parameters1/5

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

The only parameter, model_id, is undocumented in both schema and description. Schema coverage is 0%, and the description adds no meaning about its purpose, allowed values, or impact.

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

Purpose2/5

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

The description 'Analyze conversation patterns' is vague and does not specify the scope, method, or output of the analysis. It fails to distinguish from sibling tools like 'evaluate_response_quality' or 'generate_persona', which also involve analysis.

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

Usage Guidelines1/5

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. There is no mention of prerequisites, filters, or contexts where this tool is appropriate.

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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