url_encoderPercent-encode or decode a URL. mode=component escapes /?&= (for a value); mode=full keeps them (for a whole address). Runs on smart-tools.xyz.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | component (default) uses encodeURIComponent; full uses encodeURI | |
| text | Yes | Text or URL to encode/decode | |
| locale | No | Language for the source_url link (default en) | |
| direction | No | encode (default) or decode |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the escaping behavior for encode modes but does not detail decode behavior, error handling, or return format. It also mentions 'Runs on smart-tools.xyz' which is minor context. This is adequate but not comprehensive.
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 two sentences long, front-loaded with the main action, and every phrase adds meaning. There is no fluff or redundant repetition of schema details.
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 utility with no output schema and no annotations, the description covers the core behavior (encode/decode, mode semantics) and includes relevant operational context. The locale parameter is not mentioned in the description, but the schema handles it, so this is acceptable. Overall, the description is sufficient for selecting and invoking the tool.
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?
The schema already covers all parameters with 100% description coverage, providing a baseline of 3. The description adds extra value by clarifying the practical difference between mode=component and mode=full in terms of which characters are escaped, going beyond the schema's simple enum listing.
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 clearly states 'Percent-encode or decode a URL' with a specific verb and resource, and distinguishes between two modes (component vs. full) which sets it apart from sibling tools like base64 or html_entities.
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?
The description explains when to use each mode ('mode=component escapes /?&= (for a value); mode=full keeps them (for a whole address)'), providing clear context for mode selection. However, it does not explicitly mention when to prefer this tool over sibling alternatives, so it stops short of full usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.
Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.
With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.
The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.