get_setting
Get a user setting (e.g. timezone)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes |
Get a user setting (e.g. timezone)
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description conveys that this is a read-only operation ('Get'), which is useful, but it does not disclose behavior for missing keys, default values, response format, or error handling. Without annotations, more detail would be valuable.
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 a single, focused sentence with no filler or redundancy. It is front-loaded with the verb and resource, making it easy to grasp quickly.
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 getter with one parameter, the description plus schema is mostly sufficient. It identifies the resource and gives an example, though it omits output format and edge-case behavior, which would improve completeness.
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?
The schema has one required 'key' parameter with no description, but the example 'timezone' gives meaningful context about what values the key accepts. This compensates for the 0% schema coverage.
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 uses a specific verb ('Get') and resource ('user setting') with a clarifying example ('timezone'). It clearly indicates a single-setting retrieval, though it does not explicitly differentiate from the sibling tool 'list_settings'.
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 guidance is provided for when to use this tool versus alternatives like 'list_settings' or 'set_setting'. The example hints at retrieving a specific setting by key, but there is no explicit context or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct resources and actions, but a few pairs (check_email_spam_score vs check_step_spam_score, get_deliverability vs check_domain_deliverability) have overlapping concerns. However, descriptions clarify the differences, so an agent can distinguish them with careful reading.
All tools follow a consistent verb_noun pattern with lowercase snake_case. The use of add vs create is a minor style variation but does not create confusion.
At 34 tools, the server exceeds the typical 3-15 tool range and even the 16-25 heavy range. While the broad functionality justifies many tools, the count is likely to make tool selection more difficult for an agent.
The tool set covers the full campaign lifecycle including creation, scheduling, processing, and deliverability tracking, plus contact and provider management. Notable gaps include no update_contact or get_campaign by ID, but these are workarounds via list operations.