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100Hires - AI ATS & Recruitment Software

hires_send_candidate_message

Schedule an email message to a candidate. If scheduled_at is omitted, the message is scheduled for 15 minutes after creation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ccNoCarbon-copy recipient email addresses.
idYesCandidate ID (integer) or alias (string).
toYesPrimary recipient email addresses.
bccNoBlind carbon-copy recipient email addresses.
bodyYesEmail body as HTML.
subjectYesEmail subject line.
scheduled_atNoUnix timestamp (seconds) for when to send. Defaults to 15 minutes after creation.
application_idNoOptional application ID to link this message to.
from_account_idNoSending mail account ID. If omitted, uses the API key owner's default mail account.
reply_to_email_idNoOptional mailbox message ID to reply to.
send_in_new_threadNoSend as a new email thread instead of replying in an existing one.

TDQS

B3.4/5.0
Behavior3/5

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

The description adds the default scheduling behavior (15 minutes after creation), which is useful beyond annotations. However, it does not disclose other behavioral traits like sending behavior for past timestamps or authentication needs.

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?

The description is a single sentence that is front-loaded with the primary action. No extraneous words.

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?

For a tool with 11 parameters and no output schema, the description lacks details on return values, error conditions, and edge cases (e.g., scheduling in the past). Minimal context is provided.

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 only repeats the default for scheduled_at, adding no new semantic value beyond the schema.

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 clearly states the tool schedules an email message to a candidate, with a specific verb ('schedule') and resource ('email message to a candidate'). The default timing detail distinguishes it from other tools.

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?

The description provides no guidance on when to use this tool versus alternatives like batch create messages or patching. No prerequisites or context for selection are given.

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

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes due to specific entity and action combinations. However, with 133 tools, there is some overlap (e.g., multiple ways to move applications) and similar-sounding operations (e.g., batch_remove_tags vs remove_candidate_tag) that could cause confusion. The detailed descriptions help but the sheer number increases ambiguity.

Naming Consistency5/5

All tools follow a consistent 'hires_verb_noun' pattern with snake_case. Verbs are descriptive (create, list, get, delete, update, batch) and nouns match the domain entities (candidate, application, job, etc.). No mixing of conventions like camelCase or inconsistent verb styles.

Tool Count2/5

133 tools is excessive for a typical server scope. While a full-featured ATS requires many operations, this count suggests insufficient aggregation. Tools for similar entities (e.g., multiple update/delete variants) could be consolidated. The high number overwhelms the tool surface and increases complexity.

Completeness4/5

The tool set covers core CRUD operations for major entities (candidates, applications, jobs, companies, users, messages, forms, etc.) plus batch operations, webhooks, and advanced features like AI scoring and nurture campaigns. Minor gaps exist (e.g., no direct reporting/analytics tools), but most workflows can be executed.