plugin_preset_count

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds a useful 'built-in' scoping detail, but it does not state what happens for an invalid plugin index, how slot/location select the plugin, or the exact return type.

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 very short with no filler and front-loads the core result. It could add more parameter and usage context in the same space, but there is no redundancy.

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 tool with no annotations, no output schema, and three undocumented parameters, the description is not complete enough for an agent to call it confidently. Missing context includes parameter semantics, return format, and behavior on invalid input.

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% and the description does not explain any of the three parameters. It never clarifies that index identifies the plugin, what slot and location mean, or why slot defaults to -1, leaving the required parameters effectively undocumented.

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 names the resource ('plugin') and the returned quantity ('number of built-in presets'), which is distinct from sibling operations like plugin_next_preset or plugin_set_preset. It lacks an explicit imperative verb, but the noun-phrase phrasing still conveys a clear read-only count operation.

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?

There is no guidance on when to use this tool versus related plugin tools, nor any mention of valid plugin contexts or alternatives. An agent has to infer usage solely from the tool name and sibling list.

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