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

With no annotations at all, the description carries full burden to disclose side effects—but it's categorized as 'Plan' (implying a pure, non-mutating operation). The description doesn't disclose whether this actually provisions resources, only outputs manifests, or requires cloud credentials. Given the sibling 'plan' semantics and lack of destructive annotations, an agent might assume it's safe, which is likely correct (it generates configs), but the description never explicitly states there are no network mutations.

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?

Single sentence, action-first, densely packed with specific artifact names. Front-loaded with 'Generate' then enumerates deliverables. No filler.

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 complex tool with 8 params, schema covers all of them with types, defaults, and formats. The description adds the 'Master-Worker' architectural context and the full inventory of generated outputs (user.properties, CLI, firewall rules, Docker Compose). The lack of an output schema means the agent can't know the exact structure of the response, but the described artifacts (CLI commands, YAML) are self-explanatory enough. Slight deduction because it doesn't explicitly state what happens with default parameters or the 'Plan' intent (non-execution).

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 every parameter is documented in the schema with defaults and descriptions. The description adds the 'Master-Worker RMI' framing and mentions 'firewall/security group rules' and 'Docker Compose manifests' which are not directly in parameter names, giving context that parameters like clientRmiLocalPort and serverRmiLocalPort are the RMI ports referenced. However, it doesn't fully explain how the parameters translate into the generated artifacts (e.g., how environment affects output).

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 is specific and action-oriented: 'Generate Master-Worker RMI port assignments, user.properties, CLI commands, firewall/security group rules, and Docker Compose manifests' for distributed load testing. This clearly distinguishes it from sibling tools like calculate_workload_model or lookup_jmeter_property by naming the exact artifacts produced.

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 implicitly signals this is a planning/artifact generation tool for distributed test setup, but it doesn't explicitly state when to prefer it over alternatives (e.g., use when setting up JMeter distributed mode) or when NOT to use it (e.g., single-node tests). Sibling differentiation is implied but not explicit—'Plan Distributed Testing' is self-evident in context but not contrasted with related tools.

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