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Send message to candidate

send_message
Destructive

Send a message in an existing conversation. Accepts room_name (from list_conversations) or talent_slug (from search_talent). Use start_conversation first if no conversation exists yet. Sending takes two calls: without confirm_token nothing is sent, and the reply is a preview of the exact text with a confirm_token; calling again with the same message and that token sends it. The candidate reads it as coming from the user's company and it can't be unsent, so show the user the preview and get their OK before the second call. Uses the connected Himalayas employer account; no extra sign-in needed.

Input Schema

NameRequiredDescriptionDefault
messageYesMessage text to send
room_nameNoRoom name from list_conversations
talent_slugNoTalent slug (from search_talent results) — resolves to room name automatically
confirm_tokenNoLeave out to get a preview; nothing is sent. Pass the token from that preview, with the same message, to send it

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / confirm_token
      Added value: +{
      +  "description": "Leave out to get a preview; nothing is sent. Pass the token from that preview, with the same message, to send it",
      +  "type": "string"
      +}
  2. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Goes well beyond the annotations (destructiveHint=true, idempotentHint=false): it explains that the first call sends nothing and only returns a preview plus confirm_token, that the message is attributed to the user's company, that it cannot be unsent, and that the connected employer account handles auth. This is exactly the operational context an agent needs before firing a destructive write.

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?

Front-loaded with purpose, then addressing options, then the critical two-call mechanics, then the safety warning. Every sentence carries decision-relevant information; the only slight overlap with the schema is the token rule, which is worth repeating for a destructive operation.

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?

For a destructive, non-idempotent, open-world write with no output schema, the description covers auth, attribution, irreversibility, the preview-then-send protocol, and prerequisites. An agent has everything needed to call it correctly and safely.

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 room_name, talent_slug, and confirm_token are already fully documented in the schema. The description restates the same sourcing (list_conversations, search_talent) and the same token-with-identical-message rule rather than adding new constraints; baseline 3 is appropriate.

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?

States a specific verb and resource ('Send a message in an existing conversation') and the 'existing conversation' qualifier cleanly separates it from start_conversation. It does not, however, distinguish itself from the sibling reply_to_message, leaving one plausible alternative route unaddressed.

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

Usage Guidelines5/5

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

Explicitly routes the agent: use start_conversation first if no conversation exists, and use list_conversations / search_talent as the sources for the two addressing parameters. It also spells out the mandatory two-call sequence and the instruction to show the preview and get user approval before the sending call.

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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