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get_industries

Get the list of valid company industries. Use these values for the "industries" filter in search_jobs, create_job_hunt, or update_job_hunt.

Instructions

Get the list of valid company industries. Use these values for the "industries" filter in search_jobs, create_job_hunt, or update_job_hunt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

There are no annotations, so the description carries the burden of behavioral disclosure. It indicates a read-only, list-returning operation ('Get the list') and the nature of the values ('valid'), but does not disclose details such as output format, sorting, or any potential pagination. For a simple, parameterless lookup, this is adequate but not rich.

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: the first states the primary purpose, the second explains where to use the values. It is concise, front-loaded, and every sentence earns its place without unnecessary detail.

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?

This is a simple, parameterless lookup tool with no output schema. The description fully covers what the tool does and how to use the result in the broader workflow, making it complete for the tool's complexity and context.

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 tool has zero parameters, so the schema fully covers parameter semantics. The baseline for 0 params is 4, and the description adds contextual meaning by explaining how the returned values will be used as filter inputs in other tools, which is helpful beyond the empty schema.

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 tool's function: 'Get the list of valid company industries' with a specific verb ('Get'), resource ('list of valid company industries'), and a clear domain distinct from sibling tools like get_currencies or get_profile. It defines exactly what is returned and the scope ('valid company industries').

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 context on when to use the tool: to retrieve values for the 'industries' filter in search_jobs, create_job_hunt, or update_job_hunt. It names specific integration points, giving clear usage guidance, though it does not explicitly state when not to use the tool or mention alternative tools.

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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