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Send user message

send-user-message

Send an outbound message to an end user via POST /v1/send-message-to-user or the converse JSON format. Use to as fbId or phone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesRecipient fbId or phone number
tagNoOptional message tag for Facebook policy tags
typeNoChannel when sending WhatsApp or SMS
formatNoplain uses send-message-to-user, json uses converse JSON
messageYesMessage text, structured message object, or array of message parts
user_idNoNumeric messenger user id when targeting by database id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesJSON or plain text body returned by the Botsify HTTP API

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=false, and the description's mention of 'POST' reinforces the write nature without adding much new context. It references 'converse JSON format' without explanation, and does not disclose authentication requirements, rate limits, or failure behavior. The description adds minimal value beyond 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core action and endpoint. However, its brevity leads to missing essential details, so it is concise but not optimally structured for completeness.

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

Completeness2/5

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

With 6 parameters and sibling tools that overlap in functionality, this description is too minimal. It does not explain when to choose this tool, what default channels are used, or how the 'converse JSON format' differs from alternatives. Although an output schema exists to cover return values, the lack of selection and operational context makes the description incomplete.

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 the baseline is 3. The description's only parameter information ('Use to as fbId or phone') is redundant with the schema's existing property description for 'to'. No additional meaning is provided for other parameters like 'message', 'type', 'format', 'tag', or 'user_id'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Send an outbound message to an end user' with a specific action verb and resource. It also mentions the endpoint and a key parameter nuance ('Use to as fbId or phone'). However, it does not distinguish this tool from sibling tools like send-converse-message or send-inbox-message, so it misses the highest score.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. The only usage hint ('Use to as fbId or phone') is a parameter detail, not a tool-selection guideline. No exclusions or alternative tools are mentioned, leaving the agent without contextual decision support.

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

B3.4/5.0
Disambiguation2/5

Several tools have overlapping purposes, such as send-converse-message, send-inbox-message, send-user-message, and stream-user-message, which all deliver messages but with subtle differences. Similarly, list-bot-messenger-users and list-messenger-users both fetch messenger users, and start-builder-chat, clear-builder-conversation, and store-builder-response all manage builder chat state. Descriptions help, but the boundaries are still confusing.

Naming Consistency3/5

Tool names consistently use hyphenated lowercase verb-noun format, but the verbs and nouns vary significantly in specificity. For example, 'get-query-response' vs 'query-mcp-agent' vs 'stream-user-message' all imply querying but with different styles. The pattern is readable but not highly predictable, with some names like 'change-user-activation' and 'patch-instruction-section' deviating from the simple verb_object structure.

Tool Count2/5

With 44 tools, this server feels overloaded. The breadth covers bots, messaging, templates, whitelabel, and versions, but many tools could be consolidated (e.g., multiple message-sending variants). The count exceeds the 25-tool threshold for 'too many', making it difficult for agents to select the right tool without extensive context.

Completeness4/5

The tool set covers the main lifecycle: agent creation, versioning, deployment, deletion, messaging, conversation history, user management, template management, and whitelabel operations. Minor gaps exist, such as missing delete for WhatsApp templates or update operations for user attributes, but these are workable edge cases. Core workflows are well supported.

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