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MCP Salesforce Connector

by smn2gnt

get_record

Retrieve a specific Salesforce record using its object name and record ID. Streamline data access for Salesforce object management with the MCP Salesforce Connector.

Instructions

Retrieves a specific record by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_nameYesThe name of the Salesforce object (e.g., 'Account', 'Contact')
record_idYesThe ID of the record to retrieve

Implementation Reference

  • The execution logic for the 'get_record' tool. Retrieves a Salesforce record by object name and ID using the simple-salesforce library and returns it as JSON-formatted text content.
    elif name == "get_record":
        object_name = arguments.get("object_name")
        record_id = arguments.get("record_id")
        if not object_name or not record_id:
            raise ValueError("Missing 'object_name' or 'record_id' argument")
        if not sf_client.sf:
            raise ValueError("Salesforce connection not established.")
        sf_object = getattr(sf_client.sf, object_name)
        results = sf_object.get(record_id)
        return [
            types.TextContent(
                type="text",
                text=f"{object_name} Record (JSON):\n{json.dumps(results, indent=2)}",
            )
        ]
  • Registers the 'get_record' tool in the list_tools handler, defining its name, description, and input schema requiring 'object_name' and 'record_id'.
    types.Tool(
        name="get_record",
        description="Retrieves a specific record by ID",
        inputSchema={
            "type": "object",
            "properties": {
                "object_name": {
                    "type": "string",
                    "description": "The name of the Salesforce object (e.g., 'Account', 'Contact')",
                },
                "record_id": {
                    "type": "string",
                    "description": "The ID of the record to retrieve",
                },
            },
            "required": ["object_name", "record_id"],
        },
    ),
  • JSON Schema for 'get_record' tool input validation, specifying required properties 'object_name' and 'record_id'.
    inputSchema={
        "type": "object",
        "properties": {
            "object_name": {
                "type": "string",
                "description": "The name of the Salesforce object (e.g., 'Account', 'Contact')",
            },
            "record_id": {
                "type": "string",
                "description": "The ID of the record to retrieve",
            },
        },
        "required": ["object_name", "record_id"],
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the basic retrieval action without mentioning permissions needed, error handling (e.g., invalid IDs), rate limits, or response format. This leaves significant gaps for a tool that interacts with a system like Salesforce.

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 a single, efficient sentence with zero wasted words. It's front-loaded with the core action ('retrieves') and directly addresses the tool's function without unnecessary elaboration.

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

Completeness2/5

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

Given the complexity of Salesforce operations, no annotations, and no output schema, the description is insufficient. It lacks details on authentication requirements, error cases, return data structure, or how it differs from sibling tools, making it incomplete for effective agent use.

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?

The schema description coverage is 100%, with both parameters clearly documented in the schema. The description adds no additional meaning beyond implying 'ID' refers to 'record_id', which is already covered. This meets the baseline for high schema coverage.

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?

The description clearly states the verb ('retrieves') and resource ('a specific record by ID'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'run_soql_query' or 'get_object_fields' which could also retrieve records, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives like 'run_soql_query' for filtered queries or 'get_object_fields' for metadata. It simply states what it does without context about appropriate use cases or exclusions.

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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