strategic_options_analyzer

Analyseur d'options stratégiques — Gapup agent-payable C-suite expertise (CSO). Returns a structured, audited deliverable. Reference case: Aircall — 5 options stratégiques post-Série D (2023-2024). Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 54 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/strategic-options-analyzer.md

What strategic_options_analyzer does on Mcp Knowledge

AI agents call strategic_options_analyzer to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
async boolean If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
company object Yes
optionHypotheses array Yes
strategicContext object Yes
founderConstraints object Yes

Parameters from the server's own tool schema.

Why strategic_options_analyzer is rated Low

This tool performs analysis and returns a structured deliverable (read/query semantics). It generates strategic options analysis similar to C-suite consulting output. There are no indicators of write, execution, destructive, or financial transaction capabilities — it reads inputs, processes them server-side, and returns an analytical report.

From the tool's definition Analyseur d'options stratégiques — Returns a structured, audited deliverable. Reference case: Aircall — 5 options stratégiques post-Série D (2023-2024).

Risk signalsAccepts URL/endpoint input (company.url) · High parameter count (27 properties)

Questions about strategic_options_analyzer

What does the strategic_options_analyzer tool do? +

Analyseur d'options stratégiques — Gapup agent-payable C-suite expertise (CSO). Returns a structured, audited deliverable. Reference case: Aircall — 5 options stratégiques post-Série D (2023-2024). Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does strategic_options_analyzer accept? +

strategic_options_analyzer accepts 5 parameters: async, company, optionHypotheses, strategicContext, founderConstraints. Required: company, optionHypotheses, strategicContext, founderConstraints. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on strategic_options_analyzer? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for strategic_options_analyzer: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is strategic_options_analyzer? +

strategic_options_analyzer is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit strategic_options_analyzer? +

Yes. Add a rate_limit block to the strategic_options_analyzer rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block strategic_options_analyzer completely? +

Set action: deny in the PolicyLayer policy for strategic_options_analyzer. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides strategic_options_analyzer? +

strategic_options_analyzer is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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