password_generatorGenerate a cryptographically strong random password with configurable length and character sets. Runs on smart-tools.xyz.
| Name | Required | Description | Default |
|---|---|---|---|
| digits | No | Include 0–9 (default true) | |
| length | No | Password length, 1–256 (default 20) | |
| locale | No | Language for the source_url link (default en) | |
| symbols | No | Include !@#… (default true) | |
| lowercase | No | Include a–z (default true) | |
| uppercase | No | Include A–Z (default true) |
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 'cryptographically strong' as a behavioral claim, but it does not disclose edge cases (e.g., all character sets false), the output format (which includes a source_url link as implied by the locale parameter), or any security implementation details. This is insufficient for a tool with no output schema.
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 first sentence is concise and informative. The second sentence, 'Runs on smart-tools.xyz,' adds little value and feels like filler. Overall, it is compact but has one extraneous element.
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?
The tool is simple but has 6 parameters and no output schema. The description does not explain what the response looks like (e.g., it includes a source_url as hinted by the locale parameter) or how it handles invalid parameter combinations. This leaves significant gaps for an agent trying to invoke it correctly.
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 input schema has 100% coverage with descriptions for all 6 parameters. The description's mention of 'configurable length and character sets' reiterates what the schema already states, adding no new meaning. Baseline of 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 clearly states the tool generates a 'cryptographically strong random password' with configurable length and character sets, which is a specific verb+resource. This distinguishes it from sibling tools like random_number_generator and uuid_generator.
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 implies usage when a password is needed, but it does not explicitly mention when to use this tool over alternatives or any exclusions. There is no context about password security requirements or comparison with other generators, so guidance is only implicit.
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.