is_leap_year_2
Check if a year is a leap year.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| year | Yes | Year to check |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| year | Yes | ||
| days_in_year | Yes | ||
| is_leap_year | Yes | ||
| days_in_february | Yes |
Check if a year is a leap year.
| Name | Required | Description | Default |
|---|---|---|---|
| year | Yes | Year to check |
| Name | Required | Description | Default |
|---|---|---|---|
| year | Yes | ||
| days_in_year | Yes | ||
| is_leap_year | Yes | ||
| days_in_february | 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?
The description offers only the basic purpose. No behavioral details such as output format, edge case handling (e.g., year 0, negative years), or any constraints are disclosed. With no annotations, the description carries full burden but falls short.
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 extremely concise with one sentence and zero waste. However, some additional context about output or usage could be added without sacrificing conciseness.
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 with one parameter and an output schema, the description is minimally adequate. It fails to mention the return type or any edge cases, but the presence of an output schema partially compensates.
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 parameter 'year' is already described as 'Year to check' in the schema. The description adds no additional meaning beyond the schema, so baseline 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 that the tool checks if a year is a leap year, which is a specific verb+resource. However, there is a sibling tool 'is_leap_year' with identical purpose, and no differentiation is provided.
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 versus alternatives. The sibling 'is_leap_year' suggests potential redundancy, but no context or exclusions are provided.
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.