search_content
Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or manage...
This record as markdown: /tools/com-flevy-flevy/search-content.md
What search_content does on Flevy
AI agents call search_content to retrieve information from Flevy without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | — | Free-text search, e.g. "balanced scorecard", "post-merger integration checklist", "DCF model". Optional when topic or author is provided (returns their top cont |
topic | string | — | Optional management topic filter, e.g. "Digital Transformation". Accepts any known alias (see list_topics). |
author | string | — | Optional author filter — the author name exactly as shown in document results. Use to list other documents from the same author, alone or combined with a topic. |
topics | array | — | Optional: up to 3 topics; returns documents associated with ALL of them (intersection), e.g. ["Digital Transformation","Supply Chain Analysis"]. Documents only. |
filetype | string | — | Optional file-type filter (documents only). Rules of thumb: frameworks, methodologies, and presentation templates are powerpoint; financial models are excel; ti |
content_type | string | — | Optional filter. Default: both types, documents first. |
Parameters from the server's own tool schema.
Why search_content is rated Low
This tool retrieves and queries content from a marketplace without any side effects. It searches, lists, and returns information matching user queries. This is a straightforward read operation with minimal risk; misuse would only expose publicly-available consulting frameworks and case studies already catalogued in Flevy's marketplace.
From the tool's definition Tool description states it "Search[es] Flevy's marketplace" and "Returns up to 10 relevance-ranked recommendations." No modification, deletion, execution, or financial operations are described.
Attacks that exploit this kind of access
The rule that runs search_content safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Flevy, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_content, this is the rule to start with:
search_content is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Flevy, apply this rule, and every search_content call is checked against it from then on.
Questions about search_content
Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic. It is categorised as a Read tool in the Flevy MCP Server, which means it retrieves data without modifying state.
search_content accepts 6 parameters: query, topic, author, topics, filetype, content_type. The full parameter table on this page comes from the server's own tool schema.
Register the Flevy MCP server in PolicyLayer and add a rule for search_content: 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 Flevy. Nothing to install.
search_content is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_content 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.
Set action: deny in the PolicyLayer policy for search_content. 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.
search_content is provided by the Flevy MCP server (https://flevy.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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