disk_parse_prefetch

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

With no annotations, the description must disclose behavioral traits. It mentions pagination support and warns about large output with include_loaded_files, but lacks details on authorization requirements, error handling for invalid files, or whether the operation is read-only. Some behavioral context is present but incomplete.

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 three concise, front-loaded sentences. Every sentence adds value: the first states the core purpose, the second clarifies scope (file vs. directory), and the third mentions pagination. No wasted words.

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 no output schema, the description could better explain return values (e.g., fields in each parsed entry). It mentions high-level output (history, run counts, times) but lacks specifics. Pagination support is noted, but behavior for empty results or errors is omitted.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds minimal meaning beyond the schema: it explains that path can be a file or directory and that executable_filter applies only to directory parsing. However, this is not substantial additional insight.

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 parses Windows Prefetch files to determine program execution history, run counts, and last execution times. It specifies the resource (Prefetch files) and the action (parse), distinguishing it from sibling tools that handle other disk artifacts like MFT, SRUM, etc.

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 mentions parsing a single .pf file or entire Prefetch directory, but does not provide explicit guidance on when to use this tool versus alternatives (e.g., disk_parse_amcache for application compatibility). No when-not-to-use or comparative guidance is given.

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