recent_changes
"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since since), GDEL...
This record as markdown: /tools/io-github-pipeworx-io-linear/recent-changes.md
What recent_changes does on Linear
AI agents call recent_changes to retrieve information from Linear 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 |
|---|---|---|---|
type | string | Yes | Entity type. Only "company" supported today. |
since | string | Yes | Window start — ISO date ("2026-04-01") or relative ("7d", "30d", "3m", "1y"). Use "30d" or "1m" for typical monitoring. |
value | string | Yes | Ticker (e.g., "AAPL") or zero-padded CIK (e.g., "0000320193"). |
Parameters from the server's own tool schema.
Why recent_changes is rated Low
This is a retrieval and aggregation tool that queries external data sources (SEC, news APIs, patent databases) and surfaces results to the user. It has no side effects—it does not create, modify, or delete any data. The tool is passive and informational, making it a Read operation with low risk.
From the tool's definition Tool retrieves change feed data from SEC EDGAR filings, news mentions (GDELT/GNews), and USPTO patents. The description uses query verbs: 'What's new with X', 'latest on Y', 'what happened to Z', 'updates on', 'news on', 'what's happening with'.
Attacks that exploit this kind of access
The rule that runs recent_changes safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linear, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recent_changes, this is the rule to start with:
recent_changes 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 Linear, apply this rule, and every recent_changes call is checked against it from then on.
Questions about recent_changes
"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since since), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). since accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window. It is categorised as a Read tool in the Linear MCP Server, which means it retrieves data without modifying state.
recent_changes accepts 3 parameters: type, since, value. Required: type, since, value. The full parameter table on this page comes from the server's own tool schema.
Register the Linear MCP server in PolicyLayer and add a rule for recent_changes: 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 Linear. Nothing to install.
recent_changes 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 recent_changes 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 recent_changes. 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.
recent_changes is provided by the Linear MCP server (https://gateway.pipeworx.io/linear/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Linear, and thousands of servers like it.
This server
Across the catalogue