# suggest_questions

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass topic (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Agent View of the PolicyLayer registry record for `suggest_questions`. HTML page: https://policylayer.com/tools/io-github-pipeworx-io-linear/suggest-questions

## Facts

- Tool: `suggest_questions`
- Server: Linear (`https://gateway.pipeworx.io/linear/mcp`) — https://policylayer.com/tools/io-github-pipeworx-io-linear.md
- Homepage: https://github.com/pipeworx-io/mcp-linear
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: yes
- Parameters: 1
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `topic` | string | no | Optional focus area: finance \| pharma \| economics \| real-estate \| betting \| weather \| government \| science \| news. Omit for a cross-category spread. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "suggest_questions",
    "arguments": {}
  }
}
```

## Why suggest_questions is rated Low

This is a discovery/help tool that provides suggestions and metadata about what other tools can do. It does not retrieve sensitive data, modify state, execute commands, delete anything, or commit financial obligations. The function is to guide users on what they can ask, making it a straightforward Read operation with minimal risk even if misused by an AI agent—the worst case being receiving unhelpful suggestions.

From the tool's own definition: "The tool 'suggest_questions' returns example questions and tool recommendations from a catalog. It performs no data retrieval, modification, deletion, or execution of external operations—only querying and displaying informational suggestions."

## Use case

AI agents call suggest_questions 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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Linear:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "suggest_questions": {}
  }
}
```

## Other tools on Linear (35)

- `forget` — Destructive — https://policylayer.com/tools/io-github-pipeworx-io-linear/forget.md
- `generate_llms_txt` — Execute — https://policylayer.com/tools/io-github-pipeworx-io-linear/generate-llms-txt.md
- `polymarket_edges` — Financial — https://policylayer.com/tools/io-github-pipeworx-io-linear/polymarket-edges.md
- `polymarket_fill_risk` — Financial — https://policylayer.com/tools/io-github-pipeworx-io-linear/polymarket-fill-risk.md
- `ai_visibility_check` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/ai-visibility-check.md
- `ask_pipeworx` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/ask-pipeworx.md
- `ask_pipeworx_beta` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/ask-pipeworx-beta.md
- `ask_pipeworx_grounded` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/ask-pipeworx-grounded.md
- `bet_research` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/bet-research.md
- `compare_entities` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/compare-entities.md
- `deep_research` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/deep-research.md
- `discover_tools` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/discover-tools.md
- `entity_profile` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/entity-profile.md
- `linear_get_issue` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/linear-get-issue.md
- `linear_list_issues` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/linear-list-issues.md
- `linear_list_teams` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/linear-list-teams.md
- `linear_search` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/linear-search.md
- `list_subscriptions` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/list-subscriptions.md
- `pipeworx_trending` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/pipeworx-trending.md
- `polymarket_arbitrage` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/polymarket-arbitrage.md
- `polymarket_edge_tracker` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/polymarket-edge-tracker.md
- `polymarket_kalshi_spread` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/polymarket-kalshi-spread.md
- `recall` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/recall.md
- `recent_alerts` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/recent-alerts.md
- `recent_changes` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/recent-changes.md
- `resolve_entity` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/resolve-entity.md
- `scan_competitor_ai_presence` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/scan-competitor-ai-presence.md
- `scan_dependency` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/scan-dependency.md
- `search_within` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/search-within.md
- `validate_claim` — Read — https://policylayer.com/tools/io-github-pipeworx-io-linear/validate-claim.md
- …and 5 more: https://policylayer.com/tools/io-github-pipeworx-io-linear.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-pipeworx-io-linear · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-pipeworx-io-linear