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Jobily Jobs

Get job details

get_job
Read-onlyIdempotent

Get the full posting of a job on Jobily.gr by its guid (from search_jobs results): plain-text description, structured sections (responsibilities, experience, must-have skills, education, benefits), how to apply, and the company logo URL. status is 'ok', 'gone' (job closed) or 'not_found'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
guidYesThe job's GUID, e.g. from a search_jobs result.
languageNoLanguage of the structured sections: 'en' (default) or 'el' (Greek).en

TDQS

A4.1/5.0
Behavior4/5

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

The annotation is readOnlyHint and idempotentHint, which establish the safety profile. The description adds semantic behavior beyond the annotations: status outcomes ('ok', 'gone', 'not_found'), returned fields, and structured data. No contradict with annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is about 4 sentences, dense and structured. It front-loads the purpose and enumerates return fields and status. It does not waste words. The only extras are statuses, sections, and URL meaning, which are all necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 2 params, many sibling tools, and no output schema. In return, the description describes output fields and statuses. The sequence of how it's all connected is given by citing 'from the search_jobs output' and full explanation of result. The system is enough for of simple complexity and small number of parameters.

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?

The input schema is fully documented (100% coverage) and includes a required guid + optional language with default. The written parameter descriptions ('The job guid, e.g. from a search_jobs result.') and language choices ('en'/'el') add slight context beyond the schema, but do not raise the parameter semantics to a simpler level.

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 names a specific verb+resource ('Get the full posting of a job on Job.gr by its guid') and delineates the complete returned payload: plain-text description, structured sections (responsibilities, will-requirements, education), how to apply, company logo, and status values ('ok', 'gone', 'not_found'). This clearly differentiates it from sibling tools like search_jobs.

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 the input source: 'guid (from a search_jobs result)', which implies use after searching. It also explains the 'language' option. It does not explicitly name alternative tools or state 'use get_job when you need full details, search_jobs to search', but the context and the explicit 'from search results' are adequate, if not explicit.

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

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: get_job retrieves details, search_jobs performs queries, list_sectors and lookup_locations provide filter facets, and lookup_roles_and_companies handles role/company suggestions. There is no overlap in purpose, and the descriptions clearly differentiate the roles.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (get_, list_, lookup_, search_). Although the verbs vary, the pattern is uniform and predictable, matching the style of well-organized RESTful or MCP naming conventions.

Tool Count5/5

Five tools form a compact, well-scoped set for a job-search read API. This falls comfortably within the ideal 3-15 range, and each tool serves a necessary purpose without redundancy.

Completeness5/5

The tool surface fully covers the core job-listing workflow: facet discovery (sectors, locations, roles/companies), searching/filtering, and retrieving full details. No missing operations are apparent for a read-only job board; common gaps like update/delete are out of scope for this server.

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