Skip to main content
Glama

build_scenario

Construct what-if scenarios using 15 foresight frameworks such as Shell Scenario Planning, Causal Layered Analysis, and Red Teaming. Analyze strategic uncertainties across chosen time horizons.

Instructions

Construct rigorous, insightful what-if scenarios using 15 foresight frameworks including Shell Scenario Planning, Schwartz Eight-Step, Manoa Method, Causal Layered Analysis, Cross-Impact Analysis, Morphological Analysis, Pre-Mortem, Red Teaming, Base Rate Negation, Monte Carlo reasoning, Agent-Based reasoning, Backcasting, Wild Card analysis, Trend Impact analysis, and Intuitive Logics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesThe scenario topic or what-if question to explore
frameworkYesWhich foresight framework to apply
time_horizonNoTime horizon for the scenario (e.g., 5 years, 2030, next decade)
Behavior2/5

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

No annotations are provided, and the description fails to disclose behavioral traits such as whether the tool is read-only, side effects, auth requirements, or output format. It only states what it does without any transparency beyond that.

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 a single sentence that front-loads the purpose, but listing all 15 frameworks makes it somewhat verbose. However, it remains focused and actionable.

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 no output schema and three parameters, the description does not explain return values, pagination, or any behavioral constraints. It is incomplete for an agent to fully understand the tool's behavior.

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 description coverage is 100%, so the baseline is 3. The description redundantly lists the frameworks already present in the schema enum, adding minimal new meaning for parameters.

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 action ('construct') and the resource ('rigorous, insightful what-if scenarios'), and distinguishes itself from sibling tools like 'interpret_text' or 'strategic_alignment_analysis' by listing 15 specific foresight frameworks.

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

Usage Guidelines3/5

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

The description implies use for scenario building but does not provide explicit guidance on when to use this tool versus alternatives or when not to use it. No exclusions or prerequisites are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DarkD/darkd-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server