deg_to_rad
Convert degrees to radians.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| degrees | Yes | Angle in degrees |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| degrees | Yes | ||
| radians | Yes |
Convert degrees to radians.
| Name | Required | Description | Default |
|---|---|---|---|
| degrees | Yes | Angle in degrees |
| Name | Required | Description | Default |
|---|---|---|---|
| degrees | Yes | ||
| radians | 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?
No annotations are provided, and the description merely restates the tool's name. It does not disclose any behavioral traits such as precision, input range, or error handling. For a mathematical conversion, this is minimal but acceptable for a simple function.
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, front-loaded sentence with no wasted words. It is appropriately concise for a trivial conversion, though it could include a brief note on the return value.
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, the description is largely complete. An output schema exists, so return values are documented elsewhere. The lack of usage alternatives or edge cases does not detract significantly.
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 description adds no meaning beyond the schema's parameter description ('Angle in degrees'). Schema coverage is 100%, so baseline 3 applies. No additional value is provided.
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 'Convert degrees to radians' is a specific verb-resource pair that clearly states the conversion direction. It distinguishes itself from the sibling tool 'rad_to_deg' by naming the input unit.
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 gives no explicit guidance on when to use this tool versus alternatives like 'rad_to_deg'. However, the usage is self-evident: use when you have degrees and need radians. Implied context is sufficient but not explicit.
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.