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

Beyond the readOnly/non-destructive annotations, it discloses that reads are live at call time, that a non-responsive server yields cached tails with stale: true and an age note, and that logs persist across restarts. This is exactly the failure-mode context an agent needs that annotations cannot convey.

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?

Front-loads the core action and return shape before the caveats about staleness and usage. Dense with information and largely waste-free, though the parenthetical path detail could be trimmed.

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?

With an output schema present, the description need not explain return values, and annotations cover the safety profile. It nonetheless covers the one thing structured fields cannot: degraded/stale behavior when the server is unavailable. Nothing needed to call it correctly is missing.

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 field-level meaning is already documented, but the description adds purpose-level semantics for project_id (narrowing to one project's workspace logs) and clarifies the entry-per-log-file return shape. It adds modest value above the schema baseline.

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 (read) and resource (latest log tails from a server), and precisely defines the unit of return: one entry per log file written by a project's processes. The log file path convention (.server4agent/<name>.log) further concretizes what is being read, distinguishing it from generic file-reading siblings.

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?

Gives explicit use cases: debug a crashing app or check what a background process is doing, and explains the project_id narrowing behavior. It does not explicitly name alternative siblings (exec, read_file) or state when not to use it, so it stops short of full routing guidance.

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