Read company-wide settings
summer_company_settings_readRead company-wide settings. Changes affect every environment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes | Summer company ID |
This was a duplicate manual listing. Use Summer’s official listing, imported from the official MCP Registry. Summer’s MCP server remains active at https://api.gosummer.ai/mcp. Setup and documentation: https://gosummer.ai/docs/mcp-clients.
summer_company_settings_readRead company-wide settings. Changes affect every environment.
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes | Summer company ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety behavior is covered. The description adds scope context ('company-wide settings,' 'every environment'), but does not describe return format, pagination, or other read-specific behavior. With rich annotations, this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loads the read purpose. However, the second sentence, 'Changes affect every environment,' is ambiguous for a read-only tool and arguably does not earn its place in a description of what the tool itself does. Still, it avoids verbosity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool with rich annotations and full schema coverage, the description is largely complete. It conveys purpose and scope, and no output schema exists, so return-value detail is not strictly required. It could better distinguish itself from summer_company_settings_update, but the essentials are present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the single 'company' parameter is already documented in the schema as 'Summer company ID.' The description adds no parameter-specific syntax, format, or constraint information. Baseline 3 is appropriate when the schema fully carries parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Read company-wide settings.' This clearly distinguishes it from write-oriented siblings such as summer_company_settings_update, though it does not explicitly name that sibling. The added scope note, 'Changes affect every environment,' clarifies the settings' scope but is not needed for basic purpose identification.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit when-to-use or when-not-to-use guidance. It does not mention the related update tool or any conditions under which reading company-wide settings is appropriate versus alternative read tools. Usage must be inferred from the tool name and description.
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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