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JobNimbus MCP by usefulapi

Get one job

jobnimbus_get_job
Read-only

Fetch a single job by jnid: name, number, workflow and status, address, sales rep, owners, related contacts and custom fields. JobNimbus: GET /jobs/{jnid}.

Input Schema

NameRequiredDescriptionDefault
jnidYesThe job's jnid (JobNimbus record id).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

readOnlyHint=true already declares the safe-read profile, and the description adds real value beyond that: it enumerates the returned shape (name, number, workflow/status, address, sales rep, owners, contacts, custom fields) and cites the underlying endpoint. It does not mention not-found/error behavior, which keeps it short of a 5.

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?

Two tight sentences, front-loaded with what is fetched; the trailing endpoint citation is mildly redundant but cheap and useful for debugging. No filler.

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?

With no output schema and only one parameter, the description compensates by listing the returned fields, which is exactly what an agent needs to plan the call. Error/empty-result handling is the only notable omission.

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?

Schema coverage is 100% and the single jnid parameter is fully documented in the schema, so the baseline is 3. The description reinforces that jnid is the job's identifier used for the lookup but adds no format or sourcing detail beyond the 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?

States a specific verb (fetch) and resource (a single job) with the lookup key (jnid), and the field list makes the scope concrete. This clearly distinguishes it from sibling list tools such as jobnimbus_list_jobs and mutate tools like jobnimbus_update_job.

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

Usage Guidelines3/5

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

Usage is implied by 'by jnid' — the agent infers it needs a known record id — but the description never says when to prefer this over jobnimbus_list_jobs or how to obtain a jnid. No exclusions or prerequisites are stated.

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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