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aprilelevengo

SWOTPal — SWOT Analysis

generate_swot

:

Instructions

Generate a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) for any company, brand, product, or topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesCompany, brand, or topic to analyze (e.g. 'Tesla 2026')
languageNoLanguage code: en, ja, zh_TW, zh, ko, vi, pt, de, es, fr, it, ru
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails to specify output format (structured vs text), persistence behavior, or side effects. The term 'Generate' implies creation but does not clarify whether the analysis is stored, returned transiently, or requires specific permissions.

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 redundant words. It front-loads the core action ('Generate') and immediately clarifies the scope, demonstrating excellent information density.

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?

For a two-parameter tool with full schema coverage, the description adequately covers the input requirements. However, with no output schema provided, it fails to describe the return structure (e.g., four-quadrant format vs narrative), leaving a significant gap in the agent's ability to predict the tool's output.

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

Parameters3/5

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

Schema coverage is 100%, establishing a baseline of 3. The description reinforces the 'topic' parameter by listing examples (company, brand, product) in the main text, but does not add syntax details, validation rules, or guidance on parameter interplay that isn't already in the schema.

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

Purpose4/5

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

The description clearly states the tool generates a SWOT analysis and defines the acronym. It specifies applicable targets (company, brand, product, topic). However, it does not explicitly differentiate from siblings like 'generate_versus' or 'get_analysis', leaving potential ambiguity about which generation or analysis tool to select.

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 like 'generate_versus' for competitive comparisons or 'get_analysis' for retrieving existing analyses. There are no stated prerequisites, success criteria, or exclusions to aid tool selection.

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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