summarize_analysis

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

With no annotations provided, the description carries the full burden but fails to disclose behavioral traits such as whether the tool is read-only, requires authentication, or has side effects. It only describes the input and output without warning of any limitations or behaviors.

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 and well-structured with a clear one-line purpose followed by Args and Returns sections. However, the parameter list is somewhat formulaic, and the Returns section is minimal.

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 existence of an output schema (not shown), the description's minimal return statement is acceptable. Parameter descriptions are complete for basic use, but the tool's purpose is fully covered. It is complete enough for the given complexity.

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?

Despite 0% schema description coverage, the description provides clear semantic meanings for all 6 parameters in the Args block (e.g., 'Total events processed' for n_events_processed). This adds value beyond the schema, though some details like allowed values for 'sign' are missing.

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 states 'Generate a summary of analysis results for a dataset.' which is a specific verb ('generate') and resource ('summary of analysis results'), and it clearly distinguishes from sibling tools like 'list_available_datasets' or 'get_dataset_info'.

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, no prerequisites, and no exclusions. It only states the basic function.

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