list_campaigns
List SMS marketing campaigns created on the account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of campaigns to retrieve (1-50, default 20) |
List SMS marketing campaigns created on the account.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of campaigns to retrieve (1-50, default 20) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden of disclosing behavior. The word 'List' implies a read-only operation and the account scope is stated, but it does not describe ordering, pagination behavior, or what a campaign object looks like.
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?
One short, front-loaded sentence with no filler. It states the action, resource, and scope efficiently and earns every word.
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 list tool with one optional parameter and no output schema, the description is mostly complete. It clearly defines the resource and scope, and the limit parameter is documented in the schema. It could mention return format, but the low complexity keeps this from being a major gap.
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 single parameter 'limit' is fully documented in the input schema with 100% coverage. The description adds no extra parameter semantics, so the schema does the required work and the baseline of 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?
The description uses a specific verb ('List') with a precise resource ('SMS marketing campaigns') and account scope. This clearly distinguishes it from sibling tools like list_messages and list_contacts.
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 given on when to use this tool versus alternatives like list_messages or list_contacts. The description only states what it lists, but does not mention exclusions, prerequisites, or preferred scenarios.
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.
Tools split into clear clusters: customer-facing send/verify/get tools and admin ops tools. The three ops_* tools could initially seem similar, but their descriptions distinguish operational alerts, business health, and route quality. Minor overlap exists between ops_monitoring and ops_pulse, but overall boundaries are clear.
The set uses consistent prefixes: get_, send_, verify_, and ops_. This creates a predictable pattern for agents. Minor deviation is that ops_pulse and ops_route_quality are noun-style rather than verb-noun, and 'pulse' is less descriptive than the others.
Eight tools is well-scoped for an SMS/OTP server, covering customer actions, pricing/balance, and admin oversight without bloat. Each tool has a clear role and the count feels appropriate for the domain.
Core flows are covered: balance lookup, pricing, sending SMS, OTP lifecycle, and admin monitoring. A notable gap is lack of per-message delivery status or send history, but agents can still complete the primary send-and-verify workflows. Minor gaps exist but are workable.