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text_extract_emails

Extract all email addresses from a text input. Collect every email string found in the provided content.

Instructions

Extract all email addresses from a text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions extraction behavior without disclosing output format, handling of duplicates, invalid formats, or edge cases.

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 a single concise sentence, front-loaded with the key action and resource. It could benefit from slight expansion but is not overly verbose.

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 extraction tool with one parameter and no output schema, the description is adequate but lacks details on output format or examples. It leaves some ambiguity about behavior in edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning beyond the parameter name 'text'. It does not explain what constitutes valid text or any constraints.

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 'extract' and the resource 'email addresses from a text', making it specific and distinguishable from sibling tools like text_extract_phone_numbers and text_extract_urls.

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

Usage Guidelines3/5

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

The description implies usage but provides no explicit guidance on when to use this tool over alternatives or any prerequisites. Sibling tools exist for similar extraction tasks, yet no comparison is made.

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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