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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It describes the output composition (loadout, servers, trust/risk, governance posture) but does not mention side effects, prerequisites, or safety implications (e.g., whether it makes external calls or modifies state). Thus, transparency is adequate but incomplete.

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, dense sentence that packs in key concepts but uses jargon ('curated loadout', 'governance posture', 'decision layer'). While informative, it could be more concise and structured for faster parsing.

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 no output schema, the description should clarify what the returned toolset contains beyond the mentioned components. It does not explain the return format (e.g., fields, structure), nor the process for transforming the goal into recommendations. This leaves gaps for an agent using the tool.

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 each parameter has a description. The tool's description adds meaningful context beyond the schema, such as explaining that risk_tolerance='read-only' restricts to safe tools for unsupervised agents, and that limit controls assembled servers. This enriches parameter understanding.

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 tool's function: transforming a plain-language goal into a recommended, governed toolset including a curated loadout and assembled servers with live trust/risk info. It also distinguishes itself from siblings by positioning as 'the decision layer over search/capability/trust/loadouts'.

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 this tool should be used when a comprehensive, integrated recommendation is needed, rather than just searching or listing. However, it does not explicitly state when to use it versus alternatives like search_servers or list_loadouts, nor does it provide exclusions.

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