Get Settings
get_settingsGet account settings including general preferences and optimization configuration
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| customerId | No | (Converra superadmin only) Target customer ID to act on behalf of |
get_settingsGet account settings including general preferences and optimization configuration
| Name | Required | Description | Default |
|---|---|---|---|
| customerId | No | (Converra superadmin only) Target customer ID to act on behalf of |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds no extra behavioral context such as whose settings are returned by default, whether the customerId impersonation changes scope, or any auth/permission note beyond what the schema states.
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?
A single front-loaded sentence with no filler or repetition. It is appropriately sized for a simple read tool, though it stops short of adding the structural pointers (scope, defaults) that would make it maximally useful.
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?
There is no output schema, so the description should ideally indicate what 'settings' contains; it does so only at a high level ('general preferences and optimization configuration'). Adequate for a one-parameter read tool with full annotation and schema coverage, but not rich.
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 coverage is 100% and the sole parameter (customerId) is fully documented as superadmin-only acting-on-behalf-of. The description contributes nothing about the parameter, so the schema carries the load and the baseline 3 applies.
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?
States a specific verb (get) and resource (account settings) and even enumerates the two content areas: general preferences and optimization configuration. It is distinguishable from update_settings by the read verb, though it does not explicitly differentiate itself from the similarly named get_account sibling.
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?
No when-to-use guidance, no prerequisites, and no mention of the obvious alternative update_settings for modifying these settings. The agent must infer usage entirely from the name.
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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