get_content_details
Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description,...
This record as markdown: /tools/com-flevy-flevy/get-content-details.md
What get_content_details does on Flevy
AI agents call get_content_details 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 |
|---|---|---|---|
content_id | string | Yes | The content_id from search_content: "doc-<n>" for documents, "case-<n>" for case studies. |
Parameters from the server's own tool schema.
Why get_content_details is rated Low
This tool only retrieves and queries detailed information about existing consulting documents and case studies. It has no ability to create, modify, delete, or execute operations. The blast radius of misuse is minimal—an agent could only read information about available consulting frameworks and templates without side effects.
From the tool's definition Tool description states it retrieves "Full metadata for one Flevy item" including author credentials, description, summary, page/slide count, price, topics, ranking, and availability of deep dives.
Attacks that exploit this kind of access
The rule that runs get_content_details 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 get_content_details, this is the rule to start with:
get_content_details 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 get_content_details call is checked against it from then on.
Questions about get_content_details
Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description, editor summary, AI summary, and editorial review when available, page/slide count, price, FlevyPro inclusion, management topics, ranking badge, and the number of slide deep dives available. Case studies return the client situation, TL;DR, and summary. Call this before recommending an item so you can describe it accurately and cite the author's credentials, and share the returned flevy.com URL. It is categorised as a Read tool in the Flevy MCP Server, which means it retrieves data without modifying state.
get_content_details accepts 1 parameter: content_id. Required: content_id. 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 get_content_details: 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.
get_content_details 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 get_content_details 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 get_content_details. 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.
get_content_details 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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