Skip to main content
Glama

jobs_lever_posting

Read-only

Fetch one public Lever job posting with its full HTML and text description. Provide the company board slug and posting id from jobs_lever_postings. Use jobs_lever_postings to browse the company's job list.

Input Schema

NameRequiredDescriptionDefault
idYesLever posting id
companyYesLever company slug

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / company / description
      Added value: +"Lever company slug"
    • addedInput schema / properties / id / description
      Added value: +"Lever posting id"
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds value by noting the posting is 'public' and that the response carries both full HTML and text description, giving an agent useful context about the nature and richness of the output.

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?

Three tight sentences, front-loaded with the fetch purpose, then input sourcing, then the routing hint. No filler; every sentence earns its place.

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?

An output schema exists, so return values need not be explained, and the description still summarizes the content. For a two-parameter fetch tool with sibling routing and provenance hints, nothing needed for correct invocation is missing.

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 description coverage is 100%, so both parameters are documented in the schema. The description adds provenance beyond the schema by stating the company slug and posting id should be taken from jobs_lever_postings, which helps an agent source valid inputs.

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?

States a specific verb (Fetch), resource (one public Lever job posting), and scope (with its full HTML and text description). It is clearly distinguishable from jobs_lever_postings, the list/browse sibling, without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly names the alternative: 'Use jobs_lever_postings to browse the company's job list,' and instructs where the inputs come from. The when-to-use-this vs the sibling is unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.