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Zyte MCP Server

scrapy_cloud_list_collections

List a Scrapy Cloud project's collections: key-value stores that spiders and scripts use to keep state across jobs, such as seen URLs, checkpoints or configuration. Each has a name and a type ('s' store, 'cs' cached, 'vs' versioned, 'vcs' versioned cached).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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

A3.6/5.0
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. It usefully describes return fields and type codes, and 'List' implies a read operation, but it omits permissions, rate limits, pagination, and explicit read-only safety information.

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, front-loaded with the action and resource, followed by a compact explanation of the domain object and its type codes. Every sentence carries useful information and there is 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?

For a simple one-parameter list tool with no output schema, the description explains what collections are and what each returned item contains (name and type). It is missing only secondary details like pagination, authorization, or ordering behavior.

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%, and the single required parameter project_id is already documented in the schema. The description adds no parameter syntax, format, or semantic detail beyond what the schema provides, so the baseline 3 is appropriate.

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 resource ('Scrapy Cloud project's collections'), then defines what collections are in this context. It is clearly distinguishable from siblings such as scrapy_cloud_get_collection_records or scrapy_cloud_delete_collection by resource scope.

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

Usage Guidelines2/5

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

The description explains what collections are and what a result contains, but gives no when-to-use, when-not-to-use, or alternatives. It does not say whether to call this before get_collection_records, delete_collection, or similar tools.

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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