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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds the genuinely useful exclusion that raw log samples are not returned, setting correct expectations before invocation, though it says nothing about paging or the result cap.

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?

Two sentences, zero filler, with the core scope first and the exclusion note second. Every clause carries information an agent needs.

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?

An output schema exists, so return values need not be explained, and the description correctly limits its return-value claim to metadata only. It is nearly complete for a two-parameter list tool, with the remaining gap being how it relates to the raw-log tools and how the limit behaves.

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 0%, so the description must carry parameter meaning, and it only partially does: it implies a single vehicleId rather than a list of vehicles, and 'bounded' loosely gestures at the limit parameter. It never explains that limit defaults to 10 with a maximum of 25.

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?

States a specific verb (List) and resource (log metadata) scoped to one connected vehicle, and the 'metadata' qualifier signals this is not raw telemetry. It does not explicitly differentiate itself from the sibling get_log_context, which is the main competing tool.

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?

Usage is implied by the 'one connected TuneWorks vehicle' scoping, so an agent can infer vehicleId is required. There is no explicit when-to-use, no exclusion, and no pointer to get_log_context or get_log_context as the alternative for raw/detailed data.

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