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List jobs

list_jobs
Read-only

List the jobs the caller can access, optionally filtered by tool slug. An API token sees its whole organization's jobs, including ones a human teammate started in the web app; a signed-in user sees their own jobs and those of tokens they created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax jobs to return (1–100; defaults to 20).
offsetNoJobs to skip for pagination (defaults to 0).
toolSlugNoFilter to a single tool slug, e.g. "news-analyzer".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: visibility differs by auth mode, and API tokens see org-wide jobs including human-started ones. It does not address ordering or pagination semantics, but the schema covers defaults.

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, zero waste. The primary action is front-loaded, and the visibility nuance follows as supporting context.

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?

For a filtered list tool with full schema coverage, no required params, and a read-only annotation, the description supplies the key missing piece (visibility scope). Return shape is not explained, but no output schema exists and list semantics are conventional; ordering could be mentioned but is minor.

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 description coverage is 100%, so limit, offset, and toolSlug are already documented with defaults and ranges. The description repeats the tool-slug filter concept without adding syntax or constraints beyond the schema. Baseline 3 applies.

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?

Specific verb (list) + resource (jobs) + scope (jobs the caller can access), with the optional tool-slug filter named. It is clearly distinguishable from get_job, which retrieves a single job.

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?

Explains when the scope applies (API token vs signed-in user) and that filtering by tool slug is optional. It does not explicitly name alternatives such as get_job for a single job or pagination-based iteration, but the context for use is clear.

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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