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post_job_public

Post a job on Himalayas without an account. Provide your email and company details. Payment is required — a Stripe checkout URL will be returned. No authentication needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesJob title (5-80 characters)
seniorityYesSeniority levels
max_salaryNoMaximum salary
skill_listNoComma-separated skills
base_salaryNoMinimum salary
company_urlYesCompany website URL
descriptionYesJob description (350+ characters, can include HTML)
company_nameYesCompany name
category_listNoComma-separated job categories
valid_throughNoExpiration date (ISO format, defaults to 30 days from now)
customer_emailYesYour email address for payment and notifications
salary_countryNoSalary currency code (default: USD)
employment_typeYesEmployment type
app_link_or_emailYesApplication URL or email address

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses key behaviors: no authentication needed, payment required, and a Stripe checkout URL will be returned. However, it omits what happens to the job if payment is not completed (e.g., whether it remains unpublished) and does not describe the overall mutation effect beyond the payment flow. This partial transparency is useful but incomplete.

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 two sentences with zero fluff. It front-loads the critical aspects (no account, payment, no auth) and avoids restating schema details. Every sentence earns its place, making it highly efficient.

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?

Despite 14 parameters, 8 of which are required, and no output schema, the description provides minimal context. It mentions a single return value (Stripe URL) but does not explain the payment flow, job visibility after payment, or any other side effects. For such a complex tool, this is insufficient for an agent to fully understand consequences.

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 schema already documents all parameters. The description adds generic guidance ('Provide your email and company details') but no parameter-specific clarification beyond what the schema provides. This meets the baseline but does not exceed it.

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 states a specific verb ('Post'), a clear resource ('a job'), and a distinguishing context ('on Himalayas without an account'). It differentiates itself from sibling tools like create_company_job by explicitly noting no account is needed, making the purpose unambiguous.

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 clearly indicates when to use this tool: when posting a job without an account, and it notes that payment is required and authentication is not. It gives clear usage context but does not explicitly mention alternatives or when not to use it. Since the purpose is unique among siblings, this is sufficient.

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

B3.3/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: job posting vs job browsing vs job management vs company management vs talent search vs profile editing vs messaging vs application tracking. Even similar tools like get_companies and search_companies are clearly differentiated by purpose and parameters. Overlapping concepts (e.g., post_job_public vs create_company_job) have explicit differences in authentication and cost.

Naming Consistency4/5

All tools use snake_case and follow a verb-first pattern (add_, get_, create_, update_, delete_, search_, list_, send_, etc.). There are minor deviations like 'show_company_job' instead of 'get_company_job' and 'mark_message_read' which is a verb+noun+adjective, but the overall style is consistent and predictable across the 41 tools.

Tool Count2/5

With 41 tools, this is well into the 'too many' range (25+). While the breadth reflects a comprehensive jobs platform, the number is excessive for an agent to efficiently navigate. Many tools could be consolidated (e.g., profile management could merge add_education/add_experience/update_profile, or company perks could be combined with profile updates). The tool count detracts from usability.

Completeness4/5

The tool set covers the full lifecycle: job posting (create, update, delete, list), job discovery (browse, search, related), company management (profile, perks, tech stack), talent search and messaging, application tracking (save, get, remove, update status), and data analytics (salary, statistics). Minor gaps exist—no delete/update for education or experience, no explicit 'close job' action—but these are edge cases and agents can work around them.

Resources