rebuildPlatformCatalogEmbeddings

Internal maintenance (requires write). Syncs gte-small (384-dim) vector embeddings for every platform catalog (MCP tools, whiteboard stencils, architecture icons, infographic templates, whiteboard design components, and open-design skills) into platform_catalog_embeddings, so the semantic search ...

SERVERStable Baseline SOURCEhttps://api.stablebaseline.io/functions/v1/cloud-serve/mcp
Medium RISK CLASS
Category Write
Parameters 10 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-stablebaseline-sb/rebuildplatformcatalogembeddings.md

What rebuildPlatformCatalogEmbeddings does on Stable Baseline

AI agents use rebuildPlatformCatalogEmbeddings to create or update resources in Stable Baseline, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Stable Baseline environment.

ParameterTypeRequiredDescription
types array Which catalogs to sync. Defaults to all six (tool, stencil, icon, infographic_template, whiteboard_component, skill).

Parameters from the server's own tool schema.

Why rebuildPlatformCatalogEmbeddings is rated Medium

This tool modifies data (vector embeddings in platform_catalog_embeddings table) across multiple platform catalogs. While it is incremental and non-destructive, it is a write operation that updates system state affecting search functionality for the entire platform.

From the tool's definition Internal maintenance (requires write). Syncs gte-small (384-dim) vector embeddings for every platform catalog into platform_catalog_embeddings. Scans every catalog, diffs by content hash, and re-embeds ONLY changed rows.

Risk signalsBulk/mass operation — affects multiple targets

Questions about rebuildPlatformCatalogEmbeddings

What does the rebuildPlatformCatalogEmbeddings tool do? +

Internal maintenance (requires write). Syncs gte-small (384-dim) vector embeddings for every platform catalog (MCP tools, whiteboard stencils, architecture icons, infographic templates, whiteboard design components, and open-design skills) into platform_catalog_embeddings, so the semantic search behind searchTools, listWhiteboardStencils, listArchitectureIcons, and the design-skill / component browsers stays current. Incremental: scans every catalog, diffs by content hash, and re-embeds ONLY changed rows (cheap no-op when nothing changed). This normally runs automatically every hour (the platform-catalog-sync cron), so manual calls are rarely needed; use it to force an immediate sync after changing any catalog. Embeds up to ~120 changed rows per call; if more changed, call again until allDone is true. Not part of normal authoring flows. It is categorised as a Write tool in the Stable Baseline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does rebuildPlatformCatalogEmbeddings accept? +

rebuildPlatformCatalogEmbeddings accepts 1 parameter: types. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on rebuildPlatformCatalogEmbeddings? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for rebuildPlatformCatalogEmbeddings: 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 Stable Baseline. Nothing to install.

What risk level is rebuildPlatformCatalogEmbeddings? +

rebuildPlatformCatalogEmbeddings is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit rebuildPlatformCatalogEmbeddings? +

Yes. Add a rate_limit block to the rebuildPlatformCatalogEmbeddings 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.

How do I block rebuildPlatformCatalogEmbeddings completely? +

Set action: deny in the PolicyLayer policy for rebuildPlatformCatalogEmbeddings. 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.

What MCP server provides rebuildPlatformCatalogEmbeddings? +

rebuildPlatformCatalogEmbeddings is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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