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Zyte MCP Server

scrapy_cloud_list_periodic_jobs

List the periodic (cron-scheduled) jobs of a Scrapy Cloud project: id, cron, tasks (spiders or scripts with priority and arguments), addtags, description and whether the schedule is disabled. Includes the UTC hour Scrapy Cloud suggests for new schedules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMaximum number of periodic jobs to return.
offsetNoNumber of periodic jobs to skip, for paging.
project_idYesScrapy Cloud project id (the numeric id in the dashboard URL).

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It implies a read-only listing and discloses that results include a 'disabled' flag and the suggested UTC hour, which is useful context. However, it says nothing about authentication, paging behavior, or result ordering.

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?

A single front-loaded sentence opens with the verb and resource, then enumerates returned fields. It is dense but every clause conveys real information, with only minor redundancy.

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 read-only list tool with fully documented parameters and no output schema, the description compensates by enumerating the returned fields (id, cron, tasks, addtags, description, disabled, suggested UTC hour). Only paging expectations and auth needs are left implicit.

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%, with count, offset, and project_id all documented in the schema. The description adds no syntax or format detail beyond what the schema already provides, so the baseline of 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?

States a specific verb (List) and a precise resource (periodic/cron-scheduled jobs of a Scrapy Cloud project), then enumerates the fields returned. This clearly separates it from siblings like scrapy_cloud_list_jobs (regular jobs) and scrapy_cloud_list_spiders.

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 only implied by the name and description; there is no explicit guidance on when to choose this over scrapy_cloud_get_periodic_job (single job) or scrapy_cloud_list_jobs. No prerequisites or exclusions 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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