"Understanding Workspace Control Systems or Tools" matching MCP tools:

• workspace_list

  Perspective AI

  Lists every workspace the user can access, with workspace_id, uniqueName (slug), and display name. Behavior: - Read-only. Page size 20, sorted by name. Pass nextCursor back as cursor to fetch the next page. - Optional search matches against name, uniqueName (slug), and website (case-insensitive); empty results return an empty array. - Other perspective tools accept either workspace_id or uniqueName interchangeably. - Returns description for each workspace — use it to match the right workspace based on context. - Does NOT mark which workspace is the caller's default — call workspace_get_default once and compare ids client-side if you need to highlight it. When to use this tool: - The user names a specific workspace and you need its workspace_id (filter with search). - Showing the user the full set of workspaces they can pick from. When NOT to use this tool: - You just need the user's default workspace — use workspace_get_default. - You already have a workspace_id and want details — use workspace_get.

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• workspace_get

  Perspective AI

  Returns details for a single workspace by id or uniqueName (slug): name, plan, and member count. Behavior: - Read-only. - Errors when the workspace does not exist or you do not have access. - Pass either the workspace ID or uniqueName (slug) in the workspace_id argument. - Returns description for context matching. - Does NOT report whether this workspace is the caller's default — call workspace_get_default once for that and compare ids client-side. When to use this tool: - You already have a workspace_id (e.g., from workspace_get_default) and need plan info or member count. - Confirming which workspace a slug points to before running write operations against it. When NOT to use this tool: - You don't know which workspace the user means — use workspace_list (paginated, supports search). - You just need the default — use workspace_get_default.

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• workspace_get_default

  Perspective AI

  Returns the user's default workspace (id, uniqueName, name, description) so you can use it as the `workspace_id` argument for other tools without prompting. Behavior: - Read-only. Takes no parameters. - Picks the default by priority: explicit user default > first owned workspace with activity > invited workspace. Same logic the web app uses to auto-select. - When no workspace is reachable, returns an object with null fields — `{ workspace_id: null, uniqueName: null, name: null, description: null }` (does NOT error). This happens when the user has no accessible workspaces (owned or invited), or when a workspace-scoped session reaches none of the user's workspaces. When to use this tool: - Start of a conversation when the user hasn't named a workspace — avoids asking which one to use. - Whenever you need a `workspace_id` and the user implied "my workspace" or didn't specify. When NOT to use this tool: - The user names a specific workspace — use workspace_list to find it by name. - You already have a `workspace_id` and just want its details — use workspace_get. - Enumerating every accessible workspace — use workspace_list.

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• perspective_list

  Perspective AI

  Lists perspectives — either browsing one workspace or searching by name/title (and owner email/name) across every workspace the user can access. Items include perspective_id, title, status, conversation count, and workspace info. Behavior: - Read-only. - Browse mode (workspace_id, no query): lists every perspective in that workspace. - Search mode (query): matches perspective name/title and owner email/name across accessible workspaces. Optional workspace_id narrows the search. Query must be non-empty and ≤200 chars. - Errors with "Please provide workspace_id to list perspectives or query to search." if neither is given. - Pass nextCursor back as cursor; has_more indicates further results. When to use this tool: - Resolving a perspective_id from a name the user mentioned (search mode). - Browsing a workspace's perspectives to pick or summarize. When NOT to use this tool: - Inspecting one known perspective in detail — use perspective_get. - Aggregate counts or rates — use perspective_get_stats. - Fetching conversation data — use perspective_list_conversations or perspective_get_conversations. Examples: - List all in a workspace: `{ workspace_id: "ws_..." }` - Search by name across all workspaces: `{ query: "welcome" }` - Search within a workspace: `{ query: "welcome", workspace_id: "ws_..." }`

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• deltasignal_risk_distribution

  DeltaSignal ATLAS-7

  Use this read-only tool to summarize the active crypto public company universe by ATLAS-7 risk tier. It returns risk-tier buckets such as HIGH, MODERATE, LOW, and UNCLASSIFIED with issuer counts and percentages. Parameters: none; call it exactly as-is when the user asks for market-wide risk mix or high-level distribution. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write external systems or access user accounts. Use it for market-wide context before issuer drilldown; use top_stressed to name the issuers in the high-risk bucket and use issuer tools for company-level analysis.

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• workspace_switch

  dialogbrain

  Re-point the active MCP API key to a different workspace. Pass exactly one of `workspace_id` or `slug` (find them via `workspace.list`). Takes effect on the very next tool call — no MCP reconnect, no new API key. Sequential checkpoint: do not parallelize tool calls across a switch — calls already in flight when the switch commits will run against the previous workspace. Keys created with workspace_locked=true refuse to switch (they are pinned to their workspace so concurrent sessions sharing a key cannot re-route each other); use a key belonging to the target workspace instead.

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• contribute_to_workspace

  MyAITwin

  Copy one or more of your personal knowledge items into an organisation workspace. The originals stay in your personal twin unchanged — this creates copies in the workspace so all members can retrieve them. IMPORTANT: This is a sharing action. Always confirm the items and target workspace with the user before calling this with multiple items. Items you do not own, or that are already in the workspace, are reported as failed per-item rather than aborting the whole batch. If you belong to exactly one workspace you can omit workspace_id; otherwise call list_workspaces first to get the ID.

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• files_delete

  dialogbrain

  Permanently delete files from this workspace by their IDs (generated documents, uploads, screenshots, etc.). IRREVERSIBLE: removes the DB record, detaches every reference (knowledge collections, thread pins, message attachments), and deletes the stored blob. There is no undo. Use to clean up leftover / superseded generated files. Only files that belong to this workspace are touched; unknown or other-workspace ids are returned under `not_found`. Max 20 per call.

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• workspace_switch

  DialogBrain

  Re-point the active MCP API key to a different workspace. Pass exactly one of `workspace_id` or `slug` (find them via `workspace.list`). Takes effect on the very next tool call — no MCP reconnect, no new API key. Sequential checkpoint: do not parallelize tool calls across a switch — calls already in flight when the switch commits will run against the previous workspace. Keys created with workspace_locked=true refuse to switch (they are pinned to their workspace so concurrent sessions sharing a key cannot re-route each other); use a key belonging to the target workspace instead.

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• list_paired_models

  ReliaStats

  Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.

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• create_lead

  Obriym CRM

  Create a lead. Idempotent by externalId (re-sending the same externalId returns the existing lead). Requires an email or phone. Enforces the workspace plan limit; the result echoes the workspace it landed in. Use update_lead to change it afterward.

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• assign_lead

  Obriym CRM

  Assign a lead to a workspace member by user id, or pass assignedTo=null to unassign. Use search_leads to find the lead id and get_workspace_info to confirm the operating workspace. The result echoes the operating workspace.

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• workspace_list

  DialogBrain

  List every workspace the caller is a member of, with `is_current` marking the workspace this MCP key is currently routed to. Pair with `workspace.switch` to change the active workspace without reconnecting.

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• workspace_list

  dialogbrain

  List every workspace the caller is a member of, with `is_current` marking the workspace this MCP key is currently routed to. Pair with `workspace.switch` to change the active workspace without reconnecting.

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• chieflab_help

  ChiefLab

  FIRST TOOL — call before anything else when you don't know what ChiefLab does or where to start. Returns the operator menu + workspace state (connectors wired, last run, signup status) + the single next action for this workspace. Cheap, no side effects. After this, call chieflab_launch_product for a full launch or chieflab_post for a single channel.

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• chieflab_help

  ChiefLab

  FIRST TOOL — call before anything else when you don't know what ChiefLab does or where to start. Returns the operator menu + workspace state (connectors wired, last run, signup status) + the single next action for this workspace. Cheap, no side effects. After this, call chieflab_launch_product for a full launch or chieflab_post for a single channel.

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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

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• files_delete

  DialogBrain

  Permanently delete files from this workspace by their IDs (generated documents, uploads, screenshots, etc.). IRREVERSIBLE: removes the DB record, detaches every reference (knowledge collections, thread pins, message attachments), and deletes the stored blob. There is no undo. Use to clean up leftover / superseded generated files. Only files that belong to this workspace are touched; unknown or other-workspace ids are returned under `not_found`. Max 20 per call.

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• lamina_set_visibility

  lamina

  Change an app's reach: `private` (creator/workspace-owner only), `shared` (any workspace member — discoverable via `lamina_discover`), or `public`. Only the app creator or a workspace owner may change visibility. Useful right after `lamina_generate_workflow` to share a freshly generated app.

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• list_journeys

  Courier

  List journey templates in the workspace. Call this first to discover journey IDs before calling invoke_journey, get_journey, or replace_journey. Optionally filter by version (published or draft).

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