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

Goes well beyond the readOnly/destructive/openWorld annotations by disclosing a side effect the annotations do not capture: on context-scoped surfaces loading a catalog activates that catalog's tools, while elsewhere they are already callable and loading merely adds enriched context. It also discloses the shape of the return value (markdown schemas plus usage patterns), which matters since there is no output schema.

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 first sentence front-loads the return value and the catalog list is high-value routing content where each bullet earns its place. The mid-description parenthetical about context-scoped activation and "enriched context — workflows, field semantics, constraints" is dense and could be split or tightened. Overall appropriately sized for a router tool, with only that clause as dead weight.

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 a one-param router with no output schema and no parameter descriptions in the schema, the description supplies everything needed: return shape, activation side effect, when to call it, when to call `load_skill` instead, and per-value semantics for all ten catalogs. Nothing an agent needs in order to invoke 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 0%, so the description carries the full burden — and it does: each of the ten enum values is documented with its scope and what it unlocks (e.g. form-sharing as "Share-link CRUD + custom-domain attach/detach", form-behavior listing the concrete settings covered). This is meaningfully richer than the bare enum of strings and lets the agent choose a catalog without trial and error.

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 and resource ("Load a tool catalog") and immediately enumerates the payload it returns: intro text, usage patterns, and each tool's full JSON input schema as markdown. It also distinguishes itself from the nearest sibling by naming `load_skill` and assigning that tool a different scope (domain knowledge). An agent can tell exactly what this tool yields without opening 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?

Gives an explicit directive — "Prefer loading the relevant catalog before using a capability over guessing a tool name or argument shape" — which is precisely the when-to-use condition. It also names the alternative and the dividing line: domain knowledge (themes, settings, logic semantics) belongs to `load_skill` instead. The catalog list further routes the agent to the right value for each capability area.

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