validate_hex
Validate a hexadecimal string.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| hex_str | Yes | Hex string to validate |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| hex | Yes | ||
| length | No | ||
| is_valid | Yes |
Validate a hexadecimal string.
| Name | Required | Description | Default |
|---|---|---|---|
| hex_str | Yes | Hex string to validate |
| Name | Required | Description | Default |
|---|---|---|---|
| hex | Yes | ||
| length | No | ||
| is_valid | Yes |
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 bears full responsibility for disclosing behavior. It merely says 'Validate a hexadecimal string' without specifying what validation entails (e.g., format check, length), the return value (boolean? error?), or any side effects. This is grossly insufficient for safe tool selection.
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, making it concise and front-loaded. However, it is too brief for the tool's purpose, lacking crucial details like return type. It earns a 3 for efficiency but not for adequacy.
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?
Given the tool's simplicity (one parameter, no nested objects) and the existence of an output schema, the description could be minimal but still needs to explain the return format (e.g., boolean). It fails to do so, leaving the agent guessing about the output. This is incomplete for reliable usage.
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 already describes the single parameter 'hex_str' as 'Hex string to validate' (100% coverage). The description adds no additional meaning beyond what the schema provides, so it scores below the baseline of 3.
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 verb 'Validate' and the resource 'hexadecimal string'. This is specific and unambiguous. However, it does not distinguish from the sibling tool 'is_valid_hex' which likely performs a similar function, so it gets 4 instead of 5.
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 provided on when to use this tool versus alternatives like 'is_valid_hex', nor are there any usage conditions or prerequisites. The description is entirely silent on usage context.
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.
Many tools have overlapping purposes, such as multiple random generators (random_integer, random_number), duplicate hashing functions (hash_md5, md5_checksum), and near-identical tools (compare, compare_2, compare_decimals). The sheer number of tools and lack of clear boundaries make it difficult for an agent to differentiate.
Naming is highly inconsistent. There are duplicate tools with different names (camel_case vs to_camel_case, slug vs slugify), arbitrary suffixes like '_2', and mixing of patterns (e.g., generate_password vs password_entropy). No clear convention is followed.
With 572 tools, the server is massively overpopulated for any coherent purpose. It includes trivial endpoints (true_endpoint, null, hello_world) and numerous duplicates, far exceeding a well-scoped utility set.
While the server covers many domains (math, strings, dates, colors, etc.), the presence of duplicate and trivial tools indicates a lack of thoughtful curation. There are gaps in basic operations (e.g., no dedicated file or network tools), and many tools are redundant.