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Zyte MCP Server

scrapy_cloud_put_collection_record

Write one record to a Scrapy Cloud collection under a key, replacing any record with that key. Creates the collection if it does not exist. Use it to store configuration or state that spiders read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesRecord key. Writing an existing key replaces the record.
typeNoCollection type: 's' store (default), 'cs' cached store (records expire after a month), 'vs' versioned store, 'vcs' versioned cached store.s
valueYesThe record, a JSON object of up to 1 MB.
collectionYesCollection name, as listed by scrapy_cloud_list_collections.
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

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full behavioral burden. It usefully discloses overwrite semantics and collection auto-creation, but does not mention required permissions, rate limits, or what the operation returns. For a mutation tool with zero annotation coverage, this is adequate but incomplete.

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?

Three sentences, front-loaded with the action and behavior, with no filler. The use-case sentence is short and earns its place.

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?

The description covers purpose, overwrite behavior, collection creation, and a primary use case. With a rich schema and no output schema, this is mostly complete, though it omits auth/permission and error context that an agent might need.

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%, so all five parameters are documented in the schema. The description reinforces the key semantics ('replacing any record with that key') but adds little beyond the schema, so baseline 3 is appropriate.

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?

States a specific verb ('Write') and resource ('record to a Scrapy Cloud collection under a key'), and clarifies overwrite and auto-create semantics. It does not explicitly name a sibling alternative or contrast with read/delete siblings, so it falls short of the top tier.

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?

Provides a clear use case ('store configuration or state that spiders read'), giving context for when to use it. It does not state when not to use it or name alternatives like get_collection_records, so no exclusions.

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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