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Scrapeer

Scrapeer MCP Server

Official
by Scrapeer

scrapeer_run_flow_and_wait

Run a scraping flow by ID or name and wait for results. Triggers a cloud run, polls until completion, and returns structured data.

Instructions

Execute a scraping flow and wait for results. This is the recommended way to run flows. Accepts either a flow ID (UUID) or a flow name. USE THIS TOOL WHEN: user says "run my scraper", "scrape X", "execute my flow", or you need data from a pre-built flow. DO NOT USE: to check status of an already-running flow (use scrapeer_get_run_status), to list available flows (use scrapeer_list_flows first to find the flow). Triggers a cloud run, polls until complete, and returns structured results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowYesThe flow ID (UUID) or flow name. If a name is provided, it will be resolved to an ID. If multiple flows match the name, all matches are returned so the user can choose.
max_creditsNoMaximum credits to spend on this run.
timeout_secondsNoMaximum seconds to wait for completion. Default 300 (5 min). Set 0 to return immediately after triggering.
Behavior4/5

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

Annotations indicate a non-read-only, non-idempotent, non-destructive operation. The description adds that it 'Triggers a cloud run, polls until complete, and returns structured results', providing behavioral context beyond annotations without contradiction.

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?

The description is well-structured with clear sections, front-loaded purpose, and no fluff. Slightly long but every sentence serves a purpose, making it easy to scan.

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 complex run-and-wait operation without an output schema, the description covers key aspects: what it triggers, how it waits, and how to disambiguate from siblings. It could detail the return structure but 'structured results' is acceptable given the explicit usage guidance.

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 schema already documents all three parameters. The description adds minimal parameter context beyond what the schema provides, mentioning flow ID/name resolution but not max_credits or timeout_seconds semantics.

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 uses a specific verb 'Execute' and resource 'scraping flow', clearly stating it waits for results. It distinguishes itself from siblings by being 'the recommended way' and explicitly excluding status checking and listing flows.

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

Usage Guidelines5/5

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

'USE THIS TOOL WHEN' and 'DO NOT USE' sections provide explicit use cases and alternatives, naming specific sibling tools (scrapeer_get_run_status, scrapeer_list_flows). This is exactly the level of guidance needed.

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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