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Cirra AI Salesforce Admin MCP Server

metadata_delete

Destructive

Delete one or more Salesforce metadata elements of a specified type, such as custom fields, validation rules, or custom labels. Maximum is 10 per batch - DO NOT EXCEED.

Input Schema

NameRequiredDescriptionDefault
typeYesThe metadata type.
sf_userNo(optional) Salesforce username to identify the connection to use. Omit this to use the current default connection.
fullNamesYesThe full name(s) of the metadata element(s) to delete.
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'.
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

A3.7/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the safety profile is largely covered. The description usefully adds the hard 10-per-batch ceiling, but it never mentions that metadata deletions are irreversible, whether any dependency protection exists, or what permissions are required for a destructive operation on a live org.

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

Conciseness5/5

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

Two sentences, front-loaded with the action and scope, then the batch ceiling in caps for emphasis. Nothing here is filler.

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?

An output schema exists so return values need no explanation, and annotations cover the safety flags. However, for a destructive bulk-delete on production metadata, the omission of reversibility, failure/dependency behavior, and permission requirements leaves a meaningful gap.

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

Parameters4/5

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

Schema coverage is 100%, so baseline would be 3, but the description adds real meaning for the 'type' parameter by naming concrete metadata types, which the schema leaves as a bare 'The metadata type.' It also reinforces the fullNames cap that the schema expresses as maxItems: 10, though it adds nothing about the connection/context_handle parameters.

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

Purpose5/5

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

A precise verb ('Delete') plus a scoped resource ('Salesforce metadata elements of a specified type'), with concrete examples (custom fields, validation rules, custom labels). The destructive verb cleanly separates it from metadata_create, metadata_update, metadata_read, and metadata_list in the sibling set.

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?

The description never says when to reach for this tool versus metadata_update or the Tooling API DML alternatives, nor does it state prerequisites or what to do when a deletion fails or is blocked by dependencies. The only guidance given is a batch-size cap, which is a constraint rather than a use-case rule.

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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