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100Hires - AI ATS & Recruitment Software

hires_create_email_template

Create a new email template with name, subject, and body. Subject and body support placeholders like {{first_name}}, {{job_title}}. To embed placeholders: 1) GET /template-placeholders to list them, 2) POST /template-placeholders/prepare to get the HTML tag, 3) insert the tag into the body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesEmail body HTML (supports placeholders)
nameYesTemplate name
subjectYesEmail subject line (supports placeholders like {{first_name}}, {{job_title}})
company_idNoTarget company ID

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already indicate the tool is not read-only and not destructive, so the description's disclosure of the create action is consistent. However, no additional behavioral details are given, such as required permissions or idempotency, leaving some gaps beyond 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?

The description is extremely concise, with only two sentences. The first sentence clearly states the tool's purpose, and the second provides actionable instructions. No unnecessary words or redundancy.

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 description covers the creation action and placeholder embedding thoroughly, but it omits information about the return value or any side effects. Given the absence of an output schema, this information would be valuable for completeness.

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

Parameters4/5

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

The schema description coverage is 100%, but the description adds value by providing concrete placeholder examples ({{first_name}}, {{job_title}}) and a multi-step embedding process, which goes beyond the schema's basic descriptions.

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 verb 'create' and resource 'email template', specifying the main fields (name, subject, body). It distinguishes itself from siblings like 'hires_update_email_template' and 'hires_list_email_templates' by focusing on creation.

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?

The description provides explicit step-by-step instructions for embedding placeholders, which aids the AI in using the tool correctly. However, it does not explicitly contrast with alternatives or specify when not to use this tool.

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.