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Cirra AI Salesforce Admin MCP Server

by ai.cirra
OverviewDiscussionsAdmin

page_layout_clone

Create a new page layout by cloning an existing layout in Salesforce

Input Schema

NameRequiredDescriptionDefault
layoutYesThe name or ID of the existing layout to clone. ID is preferred if you have it. If using a name, you must also provide the sObject
sObjectYesThe name of the sObject to which the layout applies. Not needed if you have provided the layout ID
sf_userNo(optional) Salesforce username to identify the connection to use. Omit this to use the current default connection.
namespaceYesThe namespace prefix of the existing layout to clone. Not needed if you have provided the layout ID or if the layout has no namespace
cirra_ai_teamNo(optional) Cirra team ID or name that owns the Salesforce connection to use for this call. Must be provided together with 'sf_user'. Use it to run against a specific team's connection without changing your default team — e.g. to keep separate chats on Salesforce orgs in different teams. Omit it when this call carries the context_handle from cirra_ai_init, which names the team for the conversation. A user with more than one place to work (several teams, or a team and a personal account) must pass either the context_handle or 'cirra_ai_team' + 'sf_user'.
newLayoutNameYesName of the new (cloned) page layout to create
context_handleNo(recommended) The conversation context handle returned by cirra_ai_init in this conversation. Pass the exact context_handle value from the most recent cirra_ai_init result so this call runs against the team and Salesforce connection selected for this conversation. A user with more than one place to work (several Cirra AI teams, or a team and a personal account) must pass either this handle or 'cirra_ai_team' + 'sf_user'; a call with neither is refused.

Output Schema

NameRequiredDescriptionDefault
messageYes
resultsNo
successYes
warningNo
errorCodeNo
errorCountNo
resultCountNo
artifactTypeNo
requestCountNo
skippedCountNo
successCountNo
artifactCategoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • changedInput schema / properties / cirra_ai_team / description
      Previous value: -"(optional) Cirra team ID or name that owns the Salesforce connection to use for this call. Must be provided together with 'sf_user'. Use it to run against a specific team's connection without changing your default team — e.g. to keep separate chats on Salesforce orgs in different teams. Omit to use your current/default team."New value: +"(optional) Cirra team ID or name that owns the Salesforce connection to use for this call. Must be provided together with 'sf_user'. Use it to run against a specific team's connection without changing your default team — e.g. to keep separate chats on Salesforce orgs in different teams. Omit it when this call carries the context_handle from cirra_ai_init, which names the team for the conversation. A user with more than one place to work (several teams, or a team and a personal account) must pass either the context_handle or 'cirra_ai_team' + 'sf_user'."
    • addedInput schema / properties / context_handle
      Added value: +{
+  "description": "(recommended) The conversation context handle returned by cirra_ai_init in this conversation. Pass the exact context_handle value from the most recent cirra_ai_init result so this call runs against the team and Salesforce connection selected for this conversation. A user with more than one place to work (several Cirra AI teams, or a team and a personal account) must pass either this handle or 'cirra_ai_team' + 'sf_user'; a call with neither is refused.",
+  "type": "string"
+}
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": true,
+  "properties": {
+    "artifactCategory": {
+      "type": "string"
+    },
+    "artifactType": {
+      "type": "string"
+    },
+    "errorCode": {
+      "type": "string"
+    },
+    "errorCount": {
+      "type": "number"
+    },
+    "message": {
+      "type": "string"
+    },
+    "requestCount": {
+      "type": "number"
+    },
+    "resultCount": {
+      "type": "number"
+    },
+    "results": {
+      "items": {
+        "additionalProperties": true,
+        "properties": {},
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "skippedCount": {
+      "type": "number"
+    },
+    "success": {
+      "type": "boolean"
+    },
+    "successCount": {
+      "type": "number"
+    },
+    "warning": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "success",
+    "message"
+  ],
+  "type": "object"
+}
  2. Changed1 schema field changed
    • addedInput schema / properties / cirra_ai_team
      Added value: +{
+  "description": "(optional) Cirra team ID or name that owns the Salesforce connection to use for this call. Must be provided together with 'sf_user'. Use it to run against a specific team's connection without changing your default team — e.g. to keep separate chats on Salesforce orgs in different teams. Omit to use your current/default team.",
+  "type": "string"
+}
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. First observed

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true; the description adds nothing beyond restating that it clones. It says nothing about whether the source layout is modified, what happens if newLayoutName collides, or that a new layout artifact is created in the org.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is efficiently written, though its brevity is also the source of the missing guidance rather than a deliberate trade-off.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and full schema coverage, the description needn't explain returns or parameters. However, for a 7-parameter mutation tool with non-idempotent semantics and multiple connection-routing options, it should at least flag the create-and-name behavior and call out the sibling page_layout_update.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every parameter is documented in the schema, including the layout-ID-vs-name branching and connection/context_handle rules. The description contributes no parameter meaning beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

It states a specific verb ('Create ... by cloning') and resource ('page layout in Salesforce'), so the operation is unambiguous. It does not differentiate from the sibling page_layout_update, which an agent must infer from names alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus page_layout_update or metadata_create. The only implicit signal is 'cloning', which the agent must interpret on its own. No prerequisites or preconditions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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