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List SMS trunks

list_sms_trunks
Read-onlyIdempotent

List the authenticated customer's SMS trunks, optionally searched by name (case-insensitive, partial match) and/or filtered by type (HTTP_IN, SMTP, HTTP_OUT, SMSC, ESME, GROUP). Results are paginated. Returns each trunk id, name, type, inbound/outbound flags, blocked state, priority, number of assigned DIDs and creation time, plus pagination meta. Use get_sms_trunk for the full details (delivery target) of one trunk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoSearch by trunk name (case-insensitive, partial match).
pageNoPage number (default 1).
typeNoFilter by SMS trunk type.
page_sizeNoResults per page (default 50, max 1000).

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: pagination, case-insensitive partial-match semantics for name, and the exact set of enum values accepted by type.

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?

Three sentences, all front-loaded: scope first, filter semantics second, return shape third, alternative last. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description compensates by enumerating the returned fields (id, name, type, flags, blocked state, priority, DID count, creation time) plus pagination meta. Combined with the annotations and full schema coverage, nothing an agent needs to call this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters are already documented in the schema, including the enum values and match semantics. The description restates this rather than adding syntax or defaults beyond what the schema provides, so the baseline 3 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?

States a specific verb and resource ('List the authenticated customer's SMS trunks') and immediately qualifies scope with search/filter options. It also names the sibling get_sms_trunk for detail retrieval, so an agent can distinguish list-vs-get without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent to get_sms_trunk when full details of a single trunk are needed, which is the key alternative. It doesn't address how this differs from the generic list_trunks sibling, so it stops just short of full when/when-not coverage.

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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