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scrapercity

scrapercity-cli

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find_mobiles

Find mobile phone numbers by providing LinkedIn profile URLs or work email addresses. Input multiple items to retrieve contact numbers for lead generation.

Instructions

Find mobile phone numbers from LinkedIn URLs or work emails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsYesLinkedIn profile URLs or work email addresses
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the action without disclosing any behavioral traits such as rate limits, data sources, or whether the operation is read-only or destructive. The agent lacks information on side effects or limitations.

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?

The description is a single sentence with no wasted words. It delivers the core purpose efficiently and is front-loaded.

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

Completeness3/5

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

For a simple tool with one parameter and no output schema, the description is minimally complete but lacks any additional context like what the output looks like or any caveats about availability. It does not fully prepare the agent for invocation.

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 description merely restates that inputs are LinkedIn URLs or work emails, adding no new meaning beyond the schema. Baseline 3 applies as the schema already defines the parameter adequately.

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 'Find' and the resource 'mobile phone numbers', and specifies the input sources 'LinkedIn URLs or work emails', which differentiates it from sibling tools like find_emails or find_people.

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 provides no guidance on when to use this tool versus alternatives (e.g., search_criminal_records, find_people). It does not mention any prerequisites or contextual constraints.

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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