Logpush MCP

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 mentions the tool lists date folders and returns a dict with specific fields, but lacks details on permissions, rate limits, error handling, or whether it's read-only or destructive. For a tool with zero annotation coverage, this leaves significant gaps in understanding its operational behavior.

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 appropriately sized and well-structured, with a clear purpose statement followed by labeled sections for Args and Returns. Each sentence adds value without redundancy, making it easy to parse. However, the 'Returns' section could be slightly more concise by integrating with the purpose statement.

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 moderate complexity (2 parameters, no annotations, but with an output schema), the description is reasonably complete. It covers the tool's purpose, parameters, and return format. Since an output schema exists, it doesn't need to detail return values extensively. The main gap is the lack of behavioral context, but overall, it provides a solid foundation for agent use.

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 meaningful context beyond the input schema, which has 0% description coverage. It explains that 'environment' filters by values like 'production' or 'staging', and 'limit' controls the maximum number of dates returned with a default of 30. This clarifies the purpose and usage of both parameters, compensating well for the schema's lack of descriptions.

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: 'List available date folders in the logpush R2 bucket.' It specifies the verb ('List') and resource ('date folders in the logpush R2 bucket'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'list_log_files' or 'get_log_stats', which might also involve listing operations.

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 provides no guidance on when to use this tool versus alternatives. It mentions filtering by environment but doesn't explain why one would choose this over siblings like 'list_log_files' or 'search_logs'. There's no mention of prerequisites, exclusions, or comparative use cases, leaving the agent to infer usage from context alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.