get_application_logs

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it mentions the tool is for 'debugging and monitoring' and 'retrieve logs from running applications,' it doesn't disclose important behavioral traits like whether this is a read-only operation, if it requires specific permissions, rate limits, pagination behavior, or what format/log-level the logs are returned in. For a tool with no annotation coverage, this is a significant gap.

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 with three sentences that are front-loaded with the core purpose. However, the second and third sentences are somewhat redundant ('debugging and monitoring' vs 'troubleshoot deployment issues and monitor application health'), which slightly reduces efficiency. Overall, it's well-structured but could be more concise.

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 no annotations and no output schema, the description provides basic purpose and usage context but lacks critical behavioral details (e.g., read-only nature, permissions, return format). For a tool with 2 parameters and 100% schema coverage, the description is minimally adequate but incomplete for safe and effective use by an AI agent without additional context.

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 schema already fully documents both parameters (uuid and lines). The description doesn't add any parameter-specific semantics beyond what's in the schema—it doesn't explain UUID format constraints, line count implications, or provide additional usage examples. Baseline 3 is appropriate when the schema does all the parameter documentation work.

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: 'Get application logs by UUID' with specific verbs ('get', 'retrieve') and resource ('application logs'). It distinguishes from siblings like list_applications (which lists applications rather than retrieving logs) but doesn't explicitly differentiate from other logging or monitoring tools that might exist.

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 implied usage context: 'Essential for debugging and monitoring application behavior, errors, and performance issues' and 'to troubleshoot deployment issues and monitor application health.' However, it doesn't explicitly state when to use this tool versus alternatives (like other logging tools or monitoring endpoints) or provide any exclusion criteria.

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