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csuite_analyze

Run a multi-perspective analysis on a business scenario from C-suite roles. Choose depth and focus for actionable insights.

Instructions

Run a C-Suite multi-perspective analysis on a business scenario.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scenarioYes
contextNo
perspectivesNoe.g. ["CEO","CFO","CTO"]
depthNoquick, standard, or deep
focusNo
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does not state whether the tool is read-only, idempotent, or has side effects. The verb 'run' implies computation but offers no safety guarantees or prerequisites.

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, efficient sentence with no unnecessary words. It conveys the core purpose without any fluff, making it easy to parse quickly.

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

Completeness2/5

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

Given the tool has 5 parameters, no output schema, and no annotations, the description is incomplete. It does not explain the format of the analysis result, how to use the 'perspectives' parameter effectively, or what 'depth' levels mean. The agent would lack key context for proper invocation.

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?

With only 40% schema description coverage (2 of 5 parameters have descriptions), the description should compensate but does not. It adds no clarification for the 'perspectives', 'context', or 'focus' parameters beyond what little the schema provides, leaving the agent to guess their meaning.

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 runs a 'C-Suite multi-perspective analysis' on a business scenario. This is a specific verb-resource combination that distinguishes it from the many sibling tools, none of which are similarly focused on executive-level analysis.

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, nor any contexts where it should or should not be used. There are no exclusions or comparisons to other tools, leaving the agent to infer usage 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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