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Get a job with abilities and equipment access

get_job

Full job record: raw stat multipliers and growth, static move/jump/evasion, the complete learnable ability set with JP costs, and which equipment types the job can equip. Also returns the version's stat ceilings for normalization. Free while this deployment runs unmetered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoen
jobIdYesJob id, e.g. 'ninja', 'calculator', 'darkKnight'.
versionYesWhich release to read. psx = original PlayStation, wotl = War of the Lions, ic = The Ivalice Chronicles. Data differs meaningfully between them.

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavior disclosure and does a reasonable job by enumerating the returned data and mentioning the stat ceilings for normalization. It does not mention failure modes, availability of invalid job IDs, or whether this is read-only, though the content strongly implies a read operation.

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 compact and front-loaded with the record type before the details. The only slightly off-topic sentence is the free/unmetered note, but it is short and not disruptive.

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?

For a data-fetch tool with no output schema, the description covers the main return fields, but an agent still lacks usage context: when this is preferable to search or query_equipment, how failures are surfaced, and what the lang parameter affects. It is adequate but has clear gaps.

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 already documents jobId and version with example and enum details, and schema coverage is 67%, so a baseline of 3 applies. The description adds no parameter-specific meaning and does not cover the undocumented lang parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource as the job record and enumerates its contents (stat multipliers, stat ceilings, abilities with JP costs, equippable types), making it clear what the tool returns. It is distinguishable from related getters like get_monster, though it lacks an explicit verb such as 'retrieves' or 'returns' at the start.

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 gives no guidance about when to prefer get_job over siblings like query_equipment, search, or compare_versions. The 'Free while this deployment runs unmetered' line is a cost note, not a selection criterion, so an agent has no exclusions or alternatives to reason with.

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

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource/action: compare_versions diffs releases, find_item_sources is a reverse-lookup, get_job/get_monster provide deep entity records, get_records is generic batch retrieval, query_equipment filters the equipment table, search resolves names to IDs, and list_versions describes the dataset. The descriptions explicitly call out when one tool should be used instead of another, so an agent should be able to pick correctly.

Naming Consistency4/5

Most tools follow a clear lower_snake_case verb_noun pattern (get_job, get_monster, get_records, list_versions, compare_versions, find_item_sources, query_equipment). The only deviation is the bare verb search, and the retrieval verbs vary (get/find/query/list) rather than being uniform, but the pattern is still predictable.

Tool Count5/5

Eight tools is a well-scoped size for a read-only game-data companion: a global search entry point, version metadata, generic batch retrieval, two deep-dive entity tools, an equipment filter, an item-source reverse lookup, and a cross-version comparator. No tool feels redundant, and every tool has a clear use case.

Completeness3/5

The server covers the main reference workflows well: discovery via search, batch retrieval via get_records, deep job/monster records, equipment shopping, item sourcing, and version comparison. However, there is no way to enumerate or filter non-equipment entity kinds (abilities, jobs, monsters, bosses, locations, consumables) without already knowing names/IDs, and compare_versions cannot identify which entities changed across versions. Those are notable gaps for a comprehensive companion server.

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