perception_bind_updated_event

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

With no annotations, the description carries the full burden of behavioral disclosure. It states that a node is added to a blueprint but does not mention prerequisites, side effects on the graph, what happens if the component is missing, or whether the operation is destructive. The "component-bound" wording gives some context but not enough for a mutation tool.

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 reasonably concise and well-structured, with the core action first, followed by useful event_name examples, a knowledge base reference, and a concrete example. No significant filler is present.

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?

Although an output schema exists, the description does not cover prerequisites such as the AIPerception component needing to exist, what node_position means, or how the tool behaves in error cases. Given it is a blueprint-mutating tool with no annotations, this is a notable completeness gap.

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%, so the description must compensate. It usefully lists common event_name values and shows blueprint_name in the example, but it never explains node_position or component_name beyond what the schema defaults already show. This is only partial compensation for the missing schema documentation.

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 states a specific verb and resource: "Add a component-bound AI Perception update event node to a Blueprint." This clearly distinguishes the action from general graph-editing tools, though it does not explicitly contrast it with similar perception event tools like add_on_see_pawn_event.

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 intended use case is implied by the action statement and the example makes it concrete, but there is no explicit guidance about when to prefer this tool over alternatives such as perception_add_component or add_on_see_pawn_event. It provides common event_name values and a knowledge base pointer, which helps, but lacks when-not-to-use guidance.

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