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send_message

Send a message to a user using inline title and body content (no template). Optionally specify routing channels. API reference: https://www.courier.com/docs/api-reference/send/send-a-message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesMessage body
dataNoKey-value data to include with the message
titleYesMessage title
methodNoRouting method: deliver to all channels or stop after first successall
user_idYesThe recipient user ID
channelsNoChannel names to route through (e.g. email, sms, push). Omit to use default routing.

TDQS

A3.7/5.0
Behavior3/5

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

The false annotations signal that this is a mutating, non-idempotent operation, and the description adds useful context about inline content and optional routing channels. It does not mention delivery side effects, auth requirements, rate limits, or whether the call returns a message ID, but it does not contradict the annotations.

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?

Two sentences with no filler: the core action and content mode are front-loaded, and the API reference link is a useful pointer at the end. Every clause earns its place.

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?

The combination of description and fully-described schema is enough to invoke the core call, and the API reference link supplements documentation. But with no output schema, the description does not tell the agent what a successful send returns, and the relationship to list/template siblings is only implicit, leaving contextual gaps.

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 coverage is 100%, so the schema already documents all parameters. The description's mention of inline title/body and routing channels maps directly to schema properties but adds no new parameter-level meaning; the 'method' enum and 'data' object are only explained in the schema, which is acceptable.

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 opens with a specific action and object ('Send a message to a user') and immediately scopes the content mode ('inline title and body content (no template)'), which distinguishes it from template-based sibling tools. It also mentions optional routing channels, giving a precise one-line definition.

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?

The 'no template' qualifier tells an agent this is for inline sends rather than template-based siblings, and 'to a user' suggests single-recipient use rather than list sends. However, it never names send_message_template, send_message_to_list, or other alternatives explicitly, so an agent must infer routing decisions from sibling names.

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

B3.1/5.0
Disambiguation3/5

Tools are mostly organized as distinct resource/action pairs, but several clusters are easy to confuse: list subscription tools (add_subscribers_to_list vs bulk_subscribe_to_list vs subscribe_user_to_list), message vs message-content vs message-history retrieval, and the many journey/journey-template list/get tools. Detailed descriptions rescue most selections, but the sheer number of near-identical verb/resource names creates real misselection risk.

Naming Consistency4/5

Almost all tools follow a snake_case verb_noun pattern (create_, get_, list_, replace_, send_, publish_, archive_). Minor deviations keep it from a perfect score: courier_installation_guide is noun-first, and add_bulk_users sits awkwardly next to the bulk_add_* family, but the overall convention is predictable and readable.

Tool Count1/5

144 tools is an extreme working-set size for an agent to hold and choose from, far beyond the reasonable 3–15 range. Even for a broad platform like Courier, this should be split into focused sub-servers (templates, journeys, users, lists, preferences, etc.) to remain usable.

Completeness4/5

The surface is remarkably comprehensive, covering sending, templates, journeys, automations, users, tenants, lists, preferences, providers, routing, brands, audiences, translations, digests, bulk jobs, and audit events. Notable gaps exist—automation template CRUD and digest schedule management are missing—but most workflows can still be completed with workarounds.