get_journal_logs

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions that filters are optional and describes remote execution behavior (SSH requirements), but doesn't cover important aspects like whether this is a read-only operation, potential performance impacts, error conditions, or output format. The description provides some context but leaves significant behavioral gaps unaddressed.

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 well-structured with a clear purpose statement followed by parameter explanations. Every sentence adds value, though the parameter section could be more front-loaded with critical information. The formatting with 'Args:' heading helps organization, making it efficient despite covering 6 parameters.

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 (6 parameters, no annotations, but has output schema), the description provides good coverage. The parameter explanations are thorough, and the presence of an output schema means return values don't need description. However, some behavioral context (like read-only nature, error handling) is missing, preventing a perfect score.

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?

With 0% schema description coverage, the description compensates fully by providing clear semantic explanations for all 6 parameters. Each parameter gets specific context: 'unit' filters by systemd unit, 'priority' lists valid values, 'since' provides format examples, 'lines' specifies default, and 'host'/'username' explain SSH dependency. This adds substantial value beyond the bare schema.

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: 'Query systemd journal logs with optional filters.' This specifies the verb ('query') and resource ('systemd journal logs'), making it distinct from sibling tools like 'get_service_logs' or 'read_log_file'. However, it doesn't explicitly differentiate from 'get_audit_logs' or explain how journal logs differ from other log types.

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 implies usage through the parameter explanations (e.g., 'optional filters', 'required if host is provided'), but lacks explicit guidance on when to use this tool versus alternatives like 'get_service_logs' or 'read_log_file'. It mentions remote execution via SSH as an option, which provides some context, but doesn't specify scenarios where journal logs are preferred over other log sources.

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