Salesforce Object Queryability

Salesforce Object Queryability

When to use this skill

Activate when:

• A SOQL or Tooling-API query returned an error and you need to know why.
• An agent or script is about to declare "object not queryable in this org" — and you need to verify the claim before trusting it.
• A multi-dimension agent (user-access-diff, org-drift-detector) is deciding whether to skip a dimension OR retry with a corrected query.
• A reviewer is auditing an agent's output envelope for silently-dropped dimensions.

Do NOT use this skill for:

• SOQL performance / selectivity tuning (use skills/apex/soql-optimization-patterns).
• Bulk API 2.0 payload issues (use skills/data/bulk-api-2-patterns).
• Authentication / session issues (use skills/integration/authentication-patterns).

Why this skill exists

A documented real-world incident: an AI agent diffing two users in a customer org tried to query PermissionSetGroupAssignment — an object that does not exist in any Salesforce edition. The query returned a 400 error. The agent collapsed this into "PSG not queryable in this org" and silently dropped the PSG dimension from the comparison. The resulting report was incomplete but looked complete.

The fix is disciplined failure classification. "Not queryable in this org" is a real category — but it's one of six possible reasons a query can fail, and the remediation is different for each.

The six failure modes

INVALID_TYPE is the most ambiguous code — it covers modes 1, 2, 5, and 6. The agent must do follow-up checks before declaring which.

Diagnostic protocol

When a query fails, run these checks in order:

Step 1 — Capture the full error payload

Don't collapse to "not queryable." Capture the HTTP status + errorCode + message. Salesforce error payloads are structured:

{
  "errorCode": "INVALID_TYPE",
  "message": "sObject type 'PermissionSetGroupAssignment' is not supported."
}

The message field disambiguates in most cases ("not supported" vs "insufficient access" vs "field does not exist").

Step 2 — Verify the object name exists

Run GET /services/data/vXX.0/sobjects/ to get the full list of accessible sObjects. If the name isn't in the list:

• If it's close to a real name → typo (Mode 1). Fix and retry.
• If it's a managed-package object → probably missing namespace prefix (Mode 5).
• If it's a feature-gated object → edition limit (Mode 2).

Step 3 — Check Tooling API vs Data API

Some objects (PermissionSet, FlowDefinition, ApexClass) are queryable via Tooling API but NOT the Data API, and vice versa. If the query hit the wrong endpoint, INVALID_TYPE fires.

Quick reference:

• Data API: User, Account, Case, Contact, PermissionSetAssignment, ObjectPermissions, FieldPermissions, GroupMember, PermissionSetGroupComponent.
• Tooling API only: ApexClass, ApexTrigger, FlowDefinition, ValidationRule, RoutingConfiguration, most metadata-describe objects.

Step 4 — Check running-user access

GET /services/data/vXX.0/sobjects/<SObjectName>/describe — if it returns but the query still fails with INSUFFICIENT_ACCESS_OR_READONLY, the user's profile/PS lacks access (Mode 3).

Step 5 — Check API version

The object's urls.sobject + keyPrefix fields in describe tell you the minimum API version. If the client is older, bump to the version that introduced the object.

Step 6 — Verify the field projection

If the error is INVALID_FIELD, the object exists but the field list has a bad entry. Retry with SELECT Id FROM <Object> LIMIT 1 to confirm the object works, then narrow down the bad field via binary search on the projection.

Recommended Workflow

1. Capture the full error — don't discard the response body.
2. Classify against the six modes using the decision table.
3. Act per mode — retry, remediate, or escalate. Never silent-skip.
4. Record the classification in the agent's output envelope under dimensions_skipped with a clear reason string.
5. Document the reasoning — "not queryable" alone is insufficient; explain WHY and what the caller could do to unblock.

Key patterns

Pattern 1 — Agent output-envelope discipline

Agents comparing multi-dimension surfaces (user access, org state, deployment history) MUST declare which dimensions were compared vs skipped, with reason codes:

{
  "dimensions_compared": ["profile", "permission-sets", "object-crud", "system-perms"],
  "dimensions_skipped": [
    {
      "dimension": "psg-components",
      "reason": "PermissionSetGroupComponent query returned INVALID_TYPE via the /services/data endpoint; retried via /services/data/v62.0/query and succeeded",
      "confidence_impact": "NONE",
      "retry_hint": "Bump sf CLI to 2.38+"
    }
  ]
}

Compare to the bad pattern:

{
  "dimensions_skipped": [
    {"dimension": "psg-components", "reason": "not queryable in this org"}
  ]
}

The bad version hides six possible root causes behind one string. The good version names the cause and gives the caller a remediation.

Pattern 2 — The INVALID_TYPE diagnostic ladder

When the error code is INVALID_TYPE:

Step 1: Is the name in /sobjects/ listing?
  Yes  → Mode 3 (permission) or Mode 6 (API version)
  No   → continue

Step 2: Is the name a managed-package object in this org?
  Yes  → Mode 5 (namespace missing)
  No   → continue

Step 3: Is the name gated by an edition/feature?
  Yes  → Mode 2 (edition limit)
  No   → continue

Step 4: Is the name close to a real sObject name (Levenshtein ≤ 2)?
  Yes  → Mode 1 (typo — suggest the real name)
  No   → Mode 1 (hallucinated; the object does not exist)

Pattern 3 — Non-existent objects agents commonly hallucinate

AI agents pattern-match on naming conventions and occasionally produce plausible-looking sObject names that don't exist. Known hallucinations seen in the wild:

Agents should validate any sObject name against /sobjects/ describe before executing a query, especially when the name looks like a reasonable extrapolation from another name.

Bulk safety

This skill is about diagnosis, not bulk writes. Only bulk-relevant note: when a query fails mid-iteration, do NOT continue looping with the same broken query 200 times. Break out, classify, and either retry once with the fix or propagate the failure.

Error handling

Every query-fail branch in agent code should log:

• The query string
• The endpoint (Data API vs Tooling API)
• The full error response
• The classification (one of the six modes)
• The retry/remediation action taken

Silent try/except: pass is the root cause of the "looks complete but isn't" failure mode. Banning it in agent code is the single most valuable hygiene rule.

Well-Architected mapping

• Reliability — distinguishing "query failed" from "query returned zero rows" from "object doesn't exist" is load-bearing for any agent that operates on live-org data. Collapsing them produces silently-incomplete reports.
• Operational Excellence — runbooks for query failures save hours of debugging. A classified error tells the next engineer exactly which of the six remediation paths to take.
• Security — a permission-denied error is meaningful signal (the agent is running as a user who shouldn't see something). Swallowing it masks a security control working correctly.

Gotchas

See references/gotchas.md.

Official Sources Used

• Salesforce Developer — REST API Error Codes: https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/errorcodes.htm
• Salesforce Developer — Tooling API Guide: https://developer.salesforce.com/docs/atlas.en-us.api_tooling.meta/api_tooling/
• Salesforce Developer — sObject Describe: https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/resources_sobject_describe.htm
• Salesforce Architects — API Versioning Strategy: https://architect.salesforce.com/
• Salesforce Developer — SOAP API Status Codes: https://developer.salesforce.com/docs/atlas.en-us.api.meta/api/sforce_api_calls_concepts_core_data_objects.htm