list_settings
List all user settings
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Mailcannon
TDQS
A3.9/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the burden. It indicates a read-only list operation, but does not mention safety, sensitivity of settings, or response behavior.
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?
Single sentence, no redundancy, directly communicates the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description does not explain return values or format. It is adequate for a simple list operation but could provide more detail about what 'user settings' includes.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters and schema coverage is 100%. The description adds no parameter info, but none is needed; baseline 4 applies.
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 'List all user settings' clearly states the action (List) and resource (user settings), and distinguishes from sibling tools like get_setting and set_setting.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs alternatives, but the context with siblings implies it for listing all settings, while get_setting retrieves a single one.
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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TDQS
B3.3/5.0
Disambiguation5/5
Each tool targets a distinct action and resource. Campaign lifecycle steps (create, update, delete, schedule, pause, resume) are clearly separate from contact management (add, remove, update tags) and provider/domain operations. No two tools have overlapping purposes.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern with underscores (e.g., add_contact, check_domain_deliverability, delete_campaign_step). Mixing of singular/plural nouns (list_campaigns vs list_tags) is intentional and does not break consistency.
Tool Count4/5
34 tools is high but justified for a full-featured email campaign server covering campaigns, contacts, providers, scheduling, deliverability, and task management. A few tools like check_email_spam_score and check_step_spam_score could be merged, but overall the count is reasonable.
Completeness5/5
The tool surface covers the complete CRM lifecycle: campaign CRUD, step management, contact CRUD with tags, provider setup, scheduling, deliverability checks, and spam analysis. Only minor gaps like per-campaign analytics or import/export exist, but core workflows are fully covered.