add_provider
Add an email provider
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| env | No | ||
| url | No | ||
| args | No | ||
| kind | Yes | ||
| name | Yes | ||
| command | No | ||
| transport | No |
Add an email provider
| Name | Required | Description | Default |
|---|---|---|---|
| env | No | ||
| url | No | ||
| args | No | ||
| kind | Yes | ||
| name | Yes | ||
| command | No | ||
| transport | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only states 'Add an email provider' without explaining required authentication, side effects, idempotency, or error conditions (e.g., duplicate name). This is severely lacking.
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 extremely short (4 words), but it sacrifices informativeness for brevity. It fails to earn its place by providing crucial context, making it under-specified rather than concise.
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?
Given the complexity (7 parameters, nested objects, no output schema), the description is grossly incomplete. It does not describe what the tool returns, how parameters interact, or behavioral details, leaving the agent with insufficient information.
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 0%, but the description adds no meaning to any of the 7 parameters. It does not explain what 'env', 'url', 'args', 'kind', 'name', 'command', or 'transport' represent. Even basic parameter roles are omitted.
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 'Add an email provider' clearly states the verb and resource, distinguishing it from sibling tools like remove_provider and list_providers. However, it lacks specificity about the provider type (email) which is implied but not explicit.
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 on when to use this tool versus alternatives such as list_providers or create_campaign. There is no mention of prerequisites, limitations, or when not to use this tool.
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.
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.
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.
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.
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.