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htaccess generator

htaccess_generator

Generate Apache .htaccess rules: force HTTPS, www redirect, caching, gzip, hotlink protection and more. Runs on smart-tools.xyz.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wwwNowww redirect: none / add / remove (default none)
gzipNoCompress text responses with mod_deflate (default false)
cacheNoAdd browser caching headers (default false)
localeNoLanguage for the source_url link (default en)
error_404NoCustom 404 page path, e.g. /404.html
force_httpsNoRedirect all HTTP to HTTPS (default false)
block_hotlinkNoBlock image hotlinking (default false)
hotlink_domainNoYour domain for hotlink protection, e.g. example.com
disable_listingNoDisable directory listing (Options -Indexes) (default false)

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of explaining behavior. It states what the tool generates but does not disclose what the output looks like, whether it returns text, or any side effects. The mention 'Runs on smart-tools.xyz' is irrelevant to behavioral expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the main purpose and features. However, the trailing clause 'Runs on smart-tools.xyz' adds no functional value for selection or invocation, slightly undermining the conciseness principle.

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 9-parameter generator with no output schema, the description should explain what the user receives. It implies the generated rules but does not clarify the output format or how parameters like block_hotlink and hotlink_domain interact. The 'and more' leaves undocumented features to the schema.

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 schema already provides 100% coverage with descriptions for all 9 parameters, so the baseline is 3. The description adds minimal parameter context—only lists a few features already present in the schema—without deepening understanding of parameter relationships or defaults.

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

Purpose5/5

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

The description clearly states the tool generates Apache .htaccess rules, with a specific verb and resource. It lists concrete features (force HTTPS, www redirect, caching, gzip, hotlink protection), which distinguishes it from sibling generators like robots_txt_generator or gitignore_generator.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for Apache server configuration scenarios but does not explicitly say when to use this tool over alternatives. No alternatives or exclusions are mentioned, leaving the agent to infer the use case from the tool name and feature 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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TDQS

B3.3/5.0
Disambiguation3/5

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.

Naming Consistency4/5

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.

Tool Count2/5

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.

Completeness4/5

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.

Resources