fetch_window

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

No annotations are provided, so the description must carry the behavioral burden. 'Fetch' implies a read operation and the description explains the before/after window behavior, but it does not disclose ordering, inclusion of the exact timestamp, error behavior, or return characteristics.

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 definition is a single, front-loaded sentence with no wasted wording. It immediately states what is fetched, the windowing behavior, and the intended use.

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 purpose and windowing behavior are clear, and the schema fully documents the parameters. However, with no annotations and no output schema, the description leaves return ordering, permissions, and result characteristics unstated, which limits completeness for a log-query tool.

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 all three parameters are already documented in the schema. The description reinforces the timestamp-centering and window concept but adds no parameter syntax or constraints beyond what the schema provides.

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 a specific verb and resource: fetch log entries immediately before and after a timestamp. It also states the intended outcome, seeing context around a specific event. It is clear, but it does not explicitly distinguish itself from siblings such as query_logs or semantic_search.

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 phrase 'to see the context around a specific event' gives a clear usage context for the tool. However, it does not name alternatives or state when not to use it in favor of query_logs, query_logs_batched, or semantic_search.

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