sync_run_log

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

Since there are no annotations provided, the description must carry the behavioral disclosure. It states that by default it groups repeated messages and provides a 'full' parameter for the opposite, which reveals the aggregation behavior. It does not describe what happens when no lines match 'level' or the exact return shape, but the output schema exists. It adds value by explaining the grouping, which is not apparent from the schema.

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 concise, with a clear opener, a practical tip, and a structured Args section. It is front-loaded with the main purpose. It could be slightly more compact, but every sentence earns its place, explaining the default behavior and each parameter's intent.

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?

The tool is of moderate complexity: it has 3 parameters, an output schema exists (so return values are documented), and no nested objects. The description covers the purpose, default behavior, and parameter meanings. With the output schema present, it need not describe return values. It's complete for an agent to call it correctly, though it could hint at error scenarios (e.g., invalid run_id).

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 schema contains parameter names and types but no descriptions (coverage 0%). The description adds critical semantics: for 'run_id', it says 'Which run to inspect, from sync_runs' – linking to another tool. For 'full', it clarifies 'Return every line instead of the grouped summary' – explaining its purpose beyond just a boolean. For 'level', it says 'Only show lines at this level' – clarifying the enum's meaning. This fully compensates for the lack of schema 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: to inspect the log of a specific sync run and understand why a run produced no data. It explicitly mentions it returns a summary by default, and differentiates itself from sibling tools like 'sync_runs' (which lists runs) and 'metrics' or 'overview' (which provide other analytical views). The specificity of 'log of one sync run' is distinct and unambiguous.

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 when to use this tool: when you need details about a specific sync run, especially to diagnose why no data was produced. It contrasts the default grouped summary with the 'full' option for detailed lines. However, it does not explicitly state when NOT to use it or name an alternative, but given the clear domain (logs), the context is clear.

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