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davidscoreal

CIA Diagnose

by davidscoreal

export_report

Read-onlyIdempotent

Generate a structured diagnosis report with executive summary, scores, and action items to build internal consensus for implementation.

Instructions

Generate a shareable diagnosis summary for the client's team.

Creates a structured report object that the LLM can format into any output (PDF, email, presentation, document). Designed to be shared internally to build consensus for implementation.

Use at the END of the journey to give the client something tangible.

Args: company_name: Company name. revenue_leak_score: Score from diagnosis. revenue_leak_score: Business Health Score (0-100, higher = healthier). dimensions_summary: Key dimension scores as text (e.g. 'Finanzas: 3/10, Comercial: 5/10, Operaciones: 3/10'). top_actions: Top 3-5 actions from the plan as text. contact_name: Client contact name. contact_email: Client email for follow-up. lang: Language ('es' or 'en').

Returns: dict: Structured report with all sections ready to format: executive summary, scores, actions, ROI, next steps, and CIA contact info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameNo
revenue_leak_scoreNo
dimensions_summaryNo
top_actionsNo
contact_nameNo
contact_emailNo
langNoes

Output 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, destructiveHint=false, idempotentHint=true. The description adds context about the tool creating a data structure for formatting, and sharing purpose. No contradiction detected.

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

Conciseness4/5

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

The description is well-structured with paragraphs and an Args list. It is front-loaded with purpose and includes an example. Slightly verbose but each sentence adds value.

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

Completeness4/5

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

Given the existence of an output schema, the description explains the return value as a dict with sections. It covers usage timing and parameter details, making it fairly complete for the tool's complexity.

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 schema has 0% description coverage, but the description includes an 'Args' section that explains each parameter's meaning. However, there is a duplication where 'revenue_leak_score' appears twice with different descriptions, causing minor confusion.

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 generates a shareable diagnosis summary, specifying the verb 'Generate' and the resource 'diagnosis summary'. It distinguishes from siblings by positioning it as an end-of-journey output tool.

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

Usage Guidelines4/5

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

It explicitly says 'Use at the END of the journey to give the client something tangible', providing clear timing. It does not mention when not to use or alternatives, but the context is sufficiently clear.

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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