cyberchef_url_decode

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 adds useful behavioral context by specifying output encoding and that it restores special characters and spaces (implying handling of both %20 and +). However, it does not disclose behavior for malformed input, invalid percent sequences, or whether plus is only treated as space in query strings. This partial transparency earns a middle score.

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 efficient sentence, front-loaded with the verb, and contains no filler or redundant phrasing. Every word contributes to defining the tool's behavior.

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?

For a simple one-parameter tool with no annotations and no output schema, the description covers the core purpose and gives a hint about output format (UTF-8). Minor gaps like error handling are acceptable for this complexity, and the input schema already documents the parameter thoroughly.

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?

Schema description coverage is 100% and the parameter description already includes clear examples ('%41%64%6d%69%6e' or 'hello+world%21') that explain semantics well. The tool description adds no additional parameter information, so baseline 3 is appropriate.

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 states a specific verb ('decodes'), a precise object ('percent-encoded URL query strings and path segments'), and the output ('standard UTF-8 characters'). This clearly differentiates it from siblings like cyberchef_url_encode and other decoding tools (from_base64, from_hex) by specifying percent-decoding.

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?

Usage context is implied by the tool name and sibling list (e.g., url_encode), but the description does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or conditions. It provides a clear purpose but no direct guidance on tool selection.

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