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

Annotations already declare readOnlyHint=true, openWorldHint=false, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, idempotent read operation. The description adds behavioral context by enumerating the output structure (the comparisons and the self-test) and citing the evidence base (3,400+ sessions), which helps set expectations. No contradiction with annotations is present.

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 a single sentence that is information-dense but not bloated. Front-loaded with the core purpose ('Decide whether...'), it efficiently lists the covered aspects and adds a credibility note ('Based on 3,400+ mentoring sessions') without verbosity. No redundant phrases or unnecessary details.

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 (a comparison of three roles with a self-test), the description covers the essential content areas and mentions the output aspects. An output schema exists to detail the exact return format, so the description does not need to enumerate every field. The main gap is the lack of explicit guidelines on when to use this tool versus sibling tools, which is a modest omission but does not prevent an agent from understanding the tool's core function.

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% for both parameters, giving a baseline of 3. The 'situation' parameter has a meaningful description ('the leader's situation in one sentence') that maps to the recommendation, and the tool description reinforces this by mentioning the three-question self-test. However, the 'context' parameter's description is entirely meta (analytics, word count, style rules) and does not explain what semantic context the user should provide. The tool description itself does not elaborate on parameter content beyond what the schema states, so it adds marginal value only.

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 verb 'Decide' and the resource (which of mentor/coach/advisor is needed). It enumerates the content dimensions (what each brings, typical question, domain experience, time horizon, self-test), which precisely distinguishes this decision tool from sibling tools like get_first_time_manager_guidance or build_mentoring_business_case. An agent can immediately understand its unique function without inspecting the schema.

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 when to use it (whenever an engineering leader needs to choose among these three roles) but does not explicitly state when not to use it or name alternative tools. For instance, it doesn't mention that for first-time manager guidance one would use get_first_time_manager_guidance instead. The usage context is clear but no exclusions or sibling comparisons are provided.

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