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AceDataCloud

mcp-webextrator

by AceDataCloud

webextrator_get_tasks_batch

Retrieve results of multiple extract or render tasks in a single batch. Use to paginate through task lists or check asynchronous outcomes together.

Instructions

Retrieve the results of multiple previously created extract or render tasks.

Use this when:
- You submitted multiple async requests and want to check their results together
- You want to paginate through a list of tasks

Returns:
    JSON response containing the list of task statuses and result data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoList of task UUIDs to retrieve in batch.
limitNoPagination limit for batch retrieval. Default is 12.
offsetNoPagination offset for batch retrieval. Default is 0.
trace_idsNoList of trace UUIDs to retrieve in batch.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It states retrieval of results and pagination, but does not disclose idempotency, rate limits, authentication, or side effects. Returns section is vague but output schema exists.

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?

Four concise sentences front-loading purpose, followed by usage guidelines and a returns note. No wasted words; every sentence 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?

Given an output schema exists, the description doesn't need to detail return values. It covers the main use cases (batch retrieval, pagination) and the parameter purposes. Some missing nuance on parameter interactions (e.g., ids vs. pagination), but overall adequate.

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 baseline is 3. Description adds usage context (e.g., pagination implies limit/offset) but does not explain parameter syntax beyond what schema already provides.

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 verb 'Retrieve' and the resource 'results of multiple previously created extract or render tasks', distinguishing it from sibling tools like webextrator_get_task (single task) and webextrator_extract/render (task creation).

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 explicit when-to-use scenarios: 'when you submitted multiple async requests' and 'want to paginate'. However, it does not explicitly state when not to use it or mention alternatives beyond the siblings.

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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