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pindaroli

mcp-server-subito-scraper

by pindaroli

subito_get_dataset_items

Fetch scraped classified ad items from a specified Apify dataset ID. Use pagination options to control the number and offset of results returned.

Instructions

Fetches scraped items from a previously generated Apify dataset ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoLimit number of items to fetch
tokenNoOptional Apify API Token
offsetNoOffset for pagination
datasetIdYesThe Apify Dataset ID to fetch items from
Behavior1/5

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

No annotations are provided, and the description adds no behavioral context. It fails to disclose any notable traits such as authentication requirements (token is optional), rate limits, pagination behavior, error handling, or what happens if the datasetId is invalid. The agent has no insight into side effects or restrictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but overly minimal. It is front-loaded with the key action, but it lacks any structure or additional information. Every sentence should earn its place, and this one is too sparse to be considered efficient.

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

Completeness2/5

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

With no output schema and no annotations, the description should cover return values, prerequisites, and pagination behavior. It does not mention that the dataset must already exist from a previous scrape, nor does it describe the format of the returned items. This is insufficient for a tool with four parameters and pagination.

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 the input schema already describes all four parameters. The description adds no additional meaning beyond the schema. While it does not repeat the schema, it also does not explain how parameters like offset and limit relate for pagination, which would be helpful.

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?

The description clearly states the action ('fetches scraped items') and the resource ('from a previously generated Apify dataset ID'). It distinguishes this tool from siblings like subito_scrape_by_url (scraping) and subito_search (searching) by focusing on existing datasets.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention that it should be used after scraping, nor does it explain when to use subito_search or apify_check_status instead. No exclusions or prerequisites 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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