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encode_url

Convert text to URL-encoded format for safe transmission in web addresses and API requests by replacing special characters with percent-encoded equivalents.

Instructions

URL encode text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to URL encode
Behavior3/5

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

Annotations provide readOnlyHint=false (implying a write/mutation operation), which aligns with 'encode' as a transformation. The description adds no behavioral details beyond this—no mention of encoding standards (e.g., percent-encoding), error handling, or output format. With annotations covering the mutation aspect, this meets the baseline for minimal added value.

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 concise three-word phrase that front-loads the core action ('URL encode text') with zero wasted words. It's appropriately sized for a simple tool with one parameter and clear annotations.

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 encoding tool with one parameter, 100% schema coverage, and annotations indicating mutation, the description is adequate but minimal. It lacks output details (no output schema provided) and doesn't explain the encoding process or use cases, leaving gaps in full contextual understanding.

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%, with the single parameter 'text' fully documented as 'Text to URL encode'. The description 'URL encode text' implies the parameter but adds no extra semantic context (e.g., examples, character limitations, or encoding rules). Baseline 3 is appropriate since the schema does the heavy lifting.

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

Purpose4/5

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

The description 'URL encode text' clearly states the verb ('encode') and resource ('URL'), making the purpose immediately understandable. It doesn't explicitly differentiate from its sibling 'decode_url', but the encoding vs. decoding distinction is inherent in the tool names, so this is still clear.

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. It doesn't mention sibling tools like 'decode_url' or 'encode_html', nor does it specify use cases like preparing text for URL parameters or handling special characters in web contexts.

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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