Skip to main content
Glama
tsmztech

Salesforce MCP Server

by tsmztech

salesforce_aggregate_query

Read-only

Run aggregate SOQL queries with GROUP BY, functions like COUNT, SUM, AVG, MIN, MAX, and HAVING to summarize Salesforce data statistically, grouping records rather than returning details.

Instructions

Execute SOQL queries with GROUP BY, aggregate functions, and statistical analysis. Use this tool for queries that summarize and group data rather than returning individual records.

NOTE: For regular queries without GROUP BY or aggregates, use salesforce_query_records instead.

This tool handles:

  1. GROUP BY queries (single/multiple fields, related objects, date functions)

  2. Aggregate functions: COUNT(), COUNT_DISTINCT(), SUM(), AVG(), MIN(), MAX()

  3. HAVING clauses for filtering grouped results

  4. Date/time grouping: CALENDAR_YEAR(), CALENDAR_MONTH(), CALENDAR_QUARTER(), FISCAL_YEAR(), FISCAL_QUARTER()

Examples:

  1. Count opportunities by stage:

    • objectName: "Opportunity"

    • selectFields: ["StageName", "COUNT(Id) OpportunityCount"]

    • groupByFields: ["StageName"]

  2. Analyze cases by priority and status:

    • objectName: "Case"

    • selectFields: ["Priority", "Status", "COUNT(Id) CaseCount", "AVG(Days_Open__c) AvgDaysOpen"]

    • groupByFields: ["Priority", "Status"]

  3. Count contacts by account industry:

    • objectName: "Contact"

    • selectFields: ["Account.Industry", "COUNT(Id) ContactCount"]

    • groupByFields: ["Account.Industry"]

  4. Quarterly opportunity analysis:

    • objectName: "Opportunity"

    • selectFields: ["CALENDAR_YEAR(CloseDate) Year", "CALENDAR_QUARTER(CloseDate) Quarter", "SUM(Amount) Revenue"]

    • groupByFields: ["CALENDAR_YEAR(CloseDate)", "CALENDAR_QUARTER(CloseDate)"]

  5. Find accounts with more than 10 opportunities:

    • objectName: "Opportunity"

    • selectFields: ["Account.Name", "COUNT(Id) OpportunityCount"]

    • groupByFields: ["Account.Name"]

    • havingClause: "COUNT(Id) > 10"

Important Rules:

  • All non-aggregate fields in selectFields MUST be included in groupByFields

  • Use whereClause to filter rows BEFORE grouping

  • Use havingClause to filter AFTER grouping (for aggregate conditions)

  • ORDER BY can only use fields from groupByFields or aggregate functions

  • OFFSET is not supported with GROUP BY in Salesforce

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of grouped results to return
orderByNoORDER BY clause - can only use grouped fields or aggregate functions
objectNameYesAPI name of the object to query
whereClauseNoWHERE clause to filter rows BEFORE grouping (cannot contain aggregate functions)
havingClauseNoHAVING clause to filter results AFTER grouping (use for aggregate conditions)
selectFieldsYesFields to select - mix of group fields and aggregates. Format: 'FieldName' or 'COUNT(Id) AliasName'
groupByFieldsYesFields to group by - must include all non-aggregate fields from selectFields
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses crucial behavioral constraints: non-aggregate fields must be in groupByFields, ORDER BY limitations, OFFSET not supported, and the distinction between WHERE (before grouping) and HAVING (after grouping). These details give the agent a thorough understanding of the tool's behavior, far exceeding what annotations alone provide.

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 well-structured with a clear opening, differentiation note, numbered feature list, multiple examples, and an 'Important Rules' section. It is appropriately sized for the tool's complexity, with every sentence contributing essential information and no redundancy. The front-loaded summary immediately conveys the tool's purpose.

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

Completeness5/5

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

Given the tool's complexity (7 parameters, no output schema), the description is exceptionally complete. It covers the tool's function, usage context, parameter relationships, limitations, and provides concrete examples. It also clarifies the difference between this tool and salesforce_query_records, ensuring the agent can make informed decisions. The absence of an output schema is acceptable as return format is implied for a query tool.

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

Parameters5/5

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

Although the schema already covers all parameters (100%), the description adds significant semantic value by explaining how parameters interact: selectFields format, the mandatory relationship between selectFields and groupByFields, whereClause vs. havingClause, and restrictions on orderBy. Multiple examples illustrate exact parameter usage, making the description highly informative 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 clearly states it executes SOQL queries with GROUP BY, aggregate functions, and statistical analysis, using a specific verb ('Execute') and resource ('SOQL queries'). It explicitly distinguishes from the sibling tool salesforce_query_records by noting that regular queries without GROUP BY should use that alternative, making the tool's scope unmistakable.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance: 'Use this tool for queries that summarize and group data rather than returning individual records' and names the alternative tool for regular queries. It also includes examples for various scenarios, reinforcing when this tool is appropriate.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tsmztech/mcp-server-salesforce'

If you have feedback or need assistance with the MCP directory API, please join our Discord server