analyze

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

No annotations provided, so description carries full burden. It describes analysis as a read-like operation without side effects, but does not explicitly state non-destructiveness or address auth requirements, rate limits, or other behavioral traits. The return structure is outlined, but not all possible variations are detailed.

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 front-loaded with a clear purpose followed by a structured Args/Returns section. It is concise without extraneous words, though the parameter list could be slightly more streamlined.

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 complexity (6 parameters, varied return structures), the description covers parameter semantics and basic return format. However, it lacks details on how each metric_type affects the output and does not reference sibling tools for context, leaving some gaps for full understanding.

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 fully compensates by explaining each parameter: profile_id, metric_type with allowed values, top_n, thresholds, and conditional filename. It adds constraints and context not present in the input 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 analyzes profiling data with flexible analysis types. It lists specific metric_type options and references the profile() tool for input, distinguishing it from siblings like compare_profiles or list_profiles.

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 the tool should be used after obtaining a profile_id from profile(), but does not explicitly say when to use versus alternatives like compare_profiles. No exclusions or when-not-to-use guidance are provided.

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