Hash Generator
hash-generatorCompute MD5, SHA-256, and other hash values.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to hash | |
| algorithm | No | Hash algorithm | SHA-256 |
hash-generatorCompute MD5, SHA-256, and other hash values.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to hash | |
| algorithm | No | Hash algorithm | SHA-256 |
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, the description carries the full burden of behavioral disclosure. It does not mention that hashing is one-way, that the result is returned as a fixed-length string, or that there are no side effects. This lack of behavioral context could leave an agent unaware of important traits.
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 sentence with no unnecessary words, front-loading the verb and key resource. It is appropriately concise for a simple tool.
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 and the schema covers both parameters, but with no output schema or mention of the return value, the description leaves ambiguity about what the agent will receive (e.g., hex string, encoding). It is adequate but not fully complete for a bare description.
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%, so the baseline is 3. The description adds no extra parameter semantics beyond noting algorithms (MD5, SHA-256), which are already listed in the enum. It does not clarify output format or parameter interaction.
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 uses a specific verb ('Compute') and names concrete hash algorithms (MD5, SHA-256), clearly identifying its purpose. It distinguishes itself from sibling tools like base64-converter or uuid-generator by explicitly referencing hashing.
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 on when to use this tool vs alternatives, nor any context about prerequisites or suitable scenarios. The description merely states the function without explaining when an agent should choose it over related tools.
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.
Multiple tools have overlapping purposes, such as bg-remover, bg-remover-pro, pro-matting, and takumi all performing background removal, and upscaler/upscaler-pro being redundant. With 202 tools, an agent may easily select the wrong one despite detailed descriptions.
Most tools use a consistent kebab-case format with descriptive names like pdf-compress, image-resizer, and tax-return-calc. Exceptions like 'takumi', 'pro-matting', and '-pro' suffixes (bg-remover-pro, upscaler-pro) are minor deviations relative to the total.
202 tools is an extreme mismatch for an MCP server, far exceeding the typical 3-15 well-scoped range. The sheer volume makes it unwieldy for an agent to efficiently navigate and select the right tool.
The tool set provides extensive coverage across many domains, including PDF operations (20+ tools), image editing, financial calculations, e-commerce fee estimation, and YouTube utilities. Minor gaps exist in cross-tool integration, but the breadth is highly comprehensive for the apparent purpose.