text_extract_urls

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

No annotations exist; the description only states the basic operation without detailing behaviors like URL format handling, edge cases, or output structure. It is minimally transparent.

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

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

The description is a single, focused sentence with no unnecessary words, efficiently conveying the tool's function.

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

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

Given the tool's simplicity and single parameter, the description suffices for basic understanding, though it lacks details on return format or handling of malformed input.

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

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

With 0% schema coverage, the description adds no meaning beyond the schema's parameter name 'text'. It does not elaborate on expected input format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Extract all URLs from a text' uses a specific verb and resource, clearly distinguishing it from sibling tools like text_extract_emails.

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

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

No guidelines provided on when to use this tool versus alternatives. For a simple extraction, the purpose implicitly suggests usage, but explicit exclusions or context are missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.