encodeFREE. Encode or decode text. op is one of base64-encode|base64-decode|base64url-encode|base64url-decode|hex-encode|hex-decode|url-encode|url-decode|html-encode|html-decode. Args: op, text.
| Name | Required | Description | Default |
|---|---|---|---|
| op | Yes | base64-encode|base64-decode|base64url-encode|base64url-decode|hex-encode|hex-decode|url-encode|url-decode|html-encode|html-decode | |
| text | Yes | Text to encode/decode. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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 fails to mention output format, side effects, error handling, or whether the operation is reversible. The 'FREE' note is irrelevant and does not aid transparency.
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 short and front-loads the core purpose. However, 'FREE' is unnecessary and consumes valuable space. Overall, it is concise but could be tighter by removing the extraneous note.
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 tool, the description covers the operation modes and arguments. However, it does not describe the return value or any potential edge cases (e.g., invalid input). Given the absence of an output schema and annotations, more contextual details would be helpful.
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 coverage is 100%, and the schema already describes 'op' and 'text' adequately. The description's 'Args: op, text' adds no new semantic value beyond what is in the schema, so the 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's purpose with a specific verb ('Encode or decode') and resource ('text'). It also enumerates all supported operations, distinguishing it from sibling tools like 'convert' or 'hash'.
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?
No guidance is given about when to use this tool versus alternatives. The description does not mention use cases, prerequisites, or exclusions. It only lists operations and arguments.
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.
Each tool targets a distinct operation: unit conversion, cron parsing, currency conversion, date math, diff, encoding, hashing, ID generation, JSON schema validation, regex, RRULE expansion, text transforms, and timezone conversion. Even related tools like convert, currency, and timezone are clearly separated by domain, with descriptions that eliminate ambiguity.
All tool names are lowercase single-word identifiers without separators or camelCase, forming a clean and predictable pattern. While some are verbs (convert, diff, encode) and others nouns (cron, currency, id), the uniform naming style ensures consistency.
13 tools is well-scoped for a general-purpose utility belt. Each tool covers a common utility without redundancy, fitting comfortably within the ideal 3-15 range.
The tool surface covers a broad range of utilities: unit and currency conversion, date/time handling (datemath, timezone, cron, rrule), text processing (text, encode, regex, diff), cryptography (hash), ID generation, and schema validation. No obvious gaps exist for the stated purpose.