save_to_shortlist
Save a site into a PERSISTENT, named shortlist that survives across conversations (Phase 5 statefulness). Snapshots the site's objectives + its current percentile objective_score, so you can re-score it later against the evolving national baseline. Use to build a durable siting shortlist across d...
This record as markdown: /tools/cloud-dchub-mcp-server/save-to-shortlist.md
What save_to_shortlist does on Mcp Server
AI agents use save_to_shortlist to create or update resources in Mcp Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Server environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
site | object | Yes | Site object: {site_ref?, lat, lng, capacity_mw, <metric fields from analyze_site>} — the metrics are what get re-scored later |
notes | string | — | Optional free-text note, e.g. "strong fiber, acceptable water" |
objectives | object | Yes | The {field: signedWeight} objectives this site was ranked under (+maximize/-minimize) — stored so re-scoring uses the same criteria |
shortlist_name | string | — | Name of the shortlist, e.g. "Q3-2026-1GW-targets" — created if new |
Parameters from the server's own tool schema.
Why save_to_shortlist is rated Medium
This tool creates and modifies persistent user data (shortlists scoped to an API key) but does not delete, destroy, or cause irreversible changes. It is reversible—items can be removed or lists modified later. It does not execute arbitrary code, move money, or delete data irreversibly.
From the tool's definition Tool description explicitly states it 'Save[s] a site into a PERSISTENT, named shortlist' and 'Snapshots the site's objectives + its current percentile objective_score', indicating creation and modification of user-specific data structures that persist across…
Attacks that exploit this kind of access
The rule that runs save_to_shortlist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_to_shortlist, this is the rule to start with:
save_to_shortlist stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every save_to_shortlist call is checked against it from then on.
Questions about save_to_shortlist
Save a site into a PERSISTENT, named shortlist that survives across conversations (Phase 5 statefulness). Snapshots the site's objectives + its current percentile objective_score, so you can re-score it later against the evolving national baseline. Use to build a durable siting shortlist across days/weeks; the list is scoped to your API key. Pair with get_shortlist to re-score + see drift. site should carry lat/lng/capacity_mw + the analyze_site metric fields (risk_resilience, fiber_connectivity, water score, etc.) you ranked on. It is categorised as a Write tool in the Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
save_to_shortlist accepts 4 parameters: site, notes, objectives, shortlist_name. Required: site, objectives. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Server MCP server in PolicyLayer and add a rule for save_to_shortlist: 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 Mcp Server. Nothing to install.
save_to_shortlist is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_to_shortlist 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 save_to_shortlist. 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.
save_to_shortlist is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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