linkedin_page_analytics
ORGANIC performance for one of the brand’s LinkedIn COMPANY PAGES: total followers, followers gained (organic vs paid) across the window, Page views (all / unique / desktop / mobile), and the impressions, unique impressions, clicks, likes, comments, shares and engagement rate of the Page’s posts....
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What linkedin_page_analytics does on Hermoso
AI agents invoke linkedin_page_analytics to trigger actions in Hermoso. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why linkedin_page_analytics is rated High
linkedin_page_analytics triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs linkedin_page_analytics safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For linkedin_page_analytics, this is the rule to start with:
linkedin_page_analytics stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every linkedin_page_analytics call is checked against it from then on.
Questions about linkedin_page_analytics
ORGANIC performance for one of the brand’s LinkedIn COMPANY PAGES: total followers, followers gained (organic vs paid) across the window, Page views (all / unique / desktop / mobile), and the impressions, unique impressions, clicks, likes, comments, shares and engagement rate of the Page’s posts. This is what answers “is our LinkedIn actually working” and “did that post land”. It is NOT linkedin_ads_report — that covers PAID campaigns; LinkedIn excludes sponsored activity from these figures entirely. Pass postUrns (the urn:li:share:… / urn:li:ugcPost:… that post_to_linkedin_page returned) for PER-POST numbers; LinkedIn forbids a date range together with named posts, so that switches to lifetime-per-post. Only Pages the user ticked in Manage accounts (or call list_connector_accounts with provider linkedin, then set_connector_accounts) are readable — a Page the account merely administers is refused, by design. LinkedIn keeps 12 months, follower figures run about 2 days behind, and it OMITS posts with no recorded activity rather than returning zeros: report an absent post or an unavailable section as MISSING data, never as zero. Read-only, 0 credits. Needs LinkedIn connected with the organization scopes. It is categorised as a Execute tool in the Hermoso MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Hermoso MCP server in PolicyLayer and add a rule for linkedin_page_analytics: 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 Hermoso. Nothing to install.
linkedin_page_analytics is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the linkedin_page_analytics 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 linkedin_page_analytics. 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.
linkedin_page_analytics is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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