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100Hires - AI ATS & Recruitment Software

hires_upload_attachment

Upload a file and create an attachment. Supported categories: voicemail (wav/mp3, max 20 MB, no object_id — returned uuid is usable as attachment_uuid in nurture voicemail steps); candidate (candidate ID); application (application ID); candidate_comment (comment ID); job_note (job-note ID); company_favicon/company_header/company_link_preview (company ID). Object ownership is strictly verified against the authenticated API key's company. Returns {uuid, url, file, relative_time}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesFile payload.
categoryYesAttachment category. Determines allowed extensions and object_id semantics.
object_idNoTarget object ID (candidate/application/comment/job-note/company, per category). Omit for `voicemail`.
company_idNoTarget company ID. Needed for partner API keys managing multiple client companies. Omitted → defaults to the authenticated company. The object_id must belong to this company (strict match).

TDQS

A4.8/5.0
Behavior5/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, openWorldHint=true. Description adds context on strict object ownership verification, return format {uuid, url, file, relative_time}, and special voicemail semantics, exceeding what annotations provide.

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 main purpose in the first sentence. Uses a compact list for categories with inline details, and mentions return format. Every sentence adds value without redundancy.

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?

Covers all key aspects: categories, required parameters, constraints per category, ownership verification, and return format. Despite no output schema, the description sufficiently explains the response. Sibling tools are not compared but not necessary for completeness.

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

Parameters5/5

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

With 100% schema coverage, baseline is 3. The description adds critical semantics: explains category-specific rules (object_id required or not), company_id use for partner API keys, and file constraints (max 20MB for voicemail, allowed types).

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 'Upload a file and create an attachment' with specific verb and resource. It lists all supported categories with distinct semantics, effectively distinguishing from siblings like hires_upload_application_attachment.

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?

Provides explicit when-to-use by detailing each category's requirements (e.g., voicemail vs. others). However, it does not compare with sibling tools like hires_upload_candidate_file, leaving some ambiguity for category-specific uploads.

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.