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

The annotations already establish that this is a safe, read-only, idempotent operation. The description adds useful context that it should be called once before the first recording and that topics provide deeper guidance, but it does not describe the returned guide content or format.

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 purpose and call timing are front-loaded, and the description is short and readable. The topic list duplicates the enum values from the schema, which is slightly redundant, but overall it remains efficient.

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 simple one-optional-parameter guide tool with rich annotations and no output schema, the description covers purpose, call timing, and topic usage sufficiently. It could be slightly more complete by stating what kind of guide content is returned.

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 coverage is 100%, so the topic enum and its default behavior are already fully documented. The description adds that topics "go deeper," but otherwise largely echoes the enum values and does not explain individual topic meanings beyond the 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 frames the tool as a guide for working through a Faylee recording, with concrete stages such as understanding intent, finding moments, mapping to code, fixing, and reporting. It is distinguishable from sibling data-fetching tools, though it never explicitly says it returns documentation content.

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?

It gives explicit timing: "Call it once before your first recording." It also explains that topic selection goes deeper, giving clear usage context. It stops short of naming when not to use it or pointing to alternatives.

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