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get_posting

Retrieve one Lever posting. Default output omits content and salary fields; use detail_profile=full with a reason when needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expandNoLever expand parameter for endpoint-supported objects.
reasonNoRequired when detail_profile requests contact, content, values, or full details.
includeNoLever include parameter for endpoint-supported fields.
posting_idYesLever posting ID.
detail_profileNooperational returns an operations view; full returns the raw endpoint payload.operational

TDQS

A4.4/5.0
Behavior4/5

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

No annotations exist, so the description carries the burden. It discloses a key behavioral trait (default omits content/salary fields) and the reason requirement for full details, which goes beyond what the name alone implies. It doesn't cover all behaviors but is sufficient for this simple getter.

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?

Two sentences, front-loaded with purpose, followed by a crucial usage tip. No wasted words; every part earns its place.

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?

Given moderate complexity and no output schema, the description covers the essential caveat (default omission) and distinguishes the tool. It relies on the schema for expand/include parameter details, which is acceptable since schema descriptions are comprehensive.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining the default behavior of detail_profile and why the reason parameter may be required, directly linking two parameters. This enriches the schema's static descriptions.

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 'Retrieve one Lever posting', which clearly specifies the verb and resource. It distinguishes from list_postings by emphasizing 'one' posting, making its singular purpose evident.

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?

It provides clear context on default output omission and instructs to use detail_profile=full with a reason when full details are needed. However, it does not explicitly mention alternatives or exclusions beyond this.

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

B3.1/5.0
Disambiguation4/5

Most tools target distinct resource-action combinations, but the sheer count (108) and the presence of closely related tools like list_opportunity_feedback / get_opportunity_feedback may cause occasional agent confusion.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern (e.g., create_*, get_*, list_*, update_*, delete_*, add_*, remove_*). Minor exceptions like apply_to_posting still fit the overall structure.

Tool Count2/5

With 108 tools, the surface is excessively large for most agent workflows. Many tools could be merged or removed without losing essential functionality, leading to decision overload.

Completeness5/5

The tool set covers the full Lever API surface comprehensively, including opportunities, postings, requisitions, users, webhooks, templates, files, and compliance data, leaving no obvious gaps.

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