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Zyte MCP Server

scrapy_cloud_get_periodic_job

Get one periodic job of a Scrapy Cloud project by id: cron, tasks, addtags, description, disabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesScrapy Cloud project id (the numeric id in the dashboard URL).
periodic_job_idYesPeriodic job id, as listed by scrapy_cloud_list_periodic_jobs.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read-only fetch, and the description usefully names the fields it returns (cron, tasks, addtags, description, disabled), but it says nothing about permissions, error behavior for a missing/invalid id, or whether the result is a snapshot.

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 identifying the verb, resource, and id-based scope, with the returned field list appended compactly. No wasted words, though the trailing field list reads slightly like a dump.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description's field list partially compensates by hinting at the return shape, which is helpful for a 2-parameter fetch tool. However, it stops short of describing the response structure or failure modes, leaving some gaps for a tool with no annotations and no output schema.

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 both parameters (project_id, periodic_job_id) are already fully documented in the schema, including the hint that periodic_job_id comes from scrapy_cloud_list_periodic_jobs. The description adds no parameter detail beyond the schema, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Get) and resource (one periodic job of a Scrapy Cloud project) scoped by id, so an agent can identify the operation. The word 'one' implicitly distinguishes it from scrapy_cloud_list_periodic_jobs, though the sibling is not named explicitly.

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 id' and the schema note that the id comes from scrapy_cloud_list_periodic_jobs, but the description itself gives no explicit when-to-use guidance or exclusions relative to list_periodic_jobs or update_periodic_job.

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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