agloop_get_logs

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

The description indicates a read-only operation but lacks detail on behavior such as result ordering, pagination, or the effect of default parameter values (e.g., limit=0). No annotations are provided to compensate.

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?

Two sentences, no wasted words. Purpose is front-loaded, and the structure is efficient for an agent to quickly understand the tool's core function.

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 read tool with three optional parameters and an output schema (assumed to describe return structure), the description is largely complete. It covers what the tool does and basic filters, though it could mention scope (e.g., current execution) for full clarity.

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 must add meaning. It mentions filtering by agent, task, and limit, but does not clarify formats, exact matching, or how the limit parameter behaves (e.g., 0 means no limit). This adds minimal value beyond parameter names.

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 it reads execution log entries, distinguishing it from sibling tools like agloop_append_log (write) and agloop_search_logs (search). The filtering options are mentioned, making the purpose 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?

No explicit guidance on when to use this tool versus alternatives like agloop_search_logs. The description implies filtering but does not explain when filtering is appropriate or limitations.

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