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simple-salesforce-mcp

simple-salesforce-mcp

by JustParent
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_objects

Read-onlyIdempotent

List Salesforce objects with API names and labels, while excluding system noise like Share, History, and Feed tables by default for a cleaner inventory.

Instructions

List the org's Salesforce objects (API name and label). System noise (Share/History/Feed/ChangeEvent tables, non-queryable objects) is excluded by default.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_objects"
  }
}

Input Schema

NameRequiredDescriptionDefault
filterNoCase-insensitive substring match on API name or label.
include_systemNoInclude non-queryable and system objects (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds meaningful behavioral context by naming the excluded system object categories (Share/History/Feed/ChangeEvent tables, non-queryable objects) and the default include_system=false behavior.

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?

The description is two sentences with no filler. The core action and output are front-loaded in the first sentence, and the second sentence adds a valuable default-behavior caveat without redundancy.

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

Completeness4/5

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

For a simple read-only list tool with two optional parameters and no output schema, the description is nearly complete: it states return fields and default filtering. It could slightly improve by pointing to describe_object for detailed metadata, but this is not a significant gap given the tool's simplicity and annotation coverage.

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 the schema already documents both parameters. The description reinforces that filtering is case-insensitive substring matching and that system objects are excluded by default, but it does not add significant new parameter-level meaning beyond the schema.

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?

The description uses a specific verb ('List') and resource ('the org's Salesforce objects') and clearly states the output fields (API name and label). This distinguishes it from siblings like run_soql_query, describe_object, and get_org_info without needing to open their schemas.

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

Usage Guidelines3/5

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

The description makes the tool's scope clear—listing object names and labels, with optional filtering—and notes the default exclusion of system noise. However, it does not explicitly state when to choose this over describe_object for metadata or run_soql_query for records, so usage guidance is implied rather than explicit.

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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