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decode_url

Decode URL-encoded text to restore original characters and make URLs readable. This tool converts percent-encoded strings back to their standard format.

Instructions

URL decode text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesURL encoded text to decode
Behavior3/5

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

Annotations provide readOnlyHint=false (implying mutation) and a title, but the description adds no behavioral context beyond the basic action. It doesn't explain what URL decoding entails (e.g., handling of special characters, error behavior for malformed input), though annotations cover the safety profile minimally. No contradiction with annotations 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?

The description is extremely concise with 'URL decode text'—three words that directly state the action. It's front-loaded with zero wasted words, making it efficient and easy to parse, though it lacks detail.

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

Completeness2/5

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

Given the tool's simplicity (one parameter, no output schema), the description is minimal but inadequate. It doesn't explain the transformation (e.g., converting %20 to space), potential errors, or output format, leaving gaps for an AI agent to understand the tool fully.

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?

The input schema has 100% description coverage, with the 'text' parameter clearly documented as 'URL encoded text to decode'. The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting.

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

Purpose3/5

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

The description 'URL decode text' states the verb ('decode') and resource ('URL'), but it's vague about what URL decoding actually does (converting percent-encoded characters back to their original form). It doesn't distinguish from sibling tools like 'decode_base64' or 'decode_html' beyond the name difference.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention when URL decoding is appropriate (e.g., for processing encoded URLs or query parameters) or contrast it with similar tools like 'decode_base64' or 'decode_html' in the sibling list.

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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