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

Annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context on top: the result is live, reflects reactive pipeline constraints, and the tool is intended for proactive validation. This is exactly the kind of added transparency the annotations alone do not provide.

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 two sentences and both earn their place: the first defines what the tool returns, and the second explains when and why an agent should use it. The core definition is front-loaded, and the usage guidance is compactly wrapped around the reactive-pipeline constraint.

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?

The description is fully actionable: it explains the purpose, the timing of use, and the practical benefit of avoiding schema-violation errors. The input schema documents the required parameters at 100% coverage, a output schema exists for return values, and annotations already convey read-only safe and idempotent behavior. An agent has enough to call this correctly.

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 100%: both id and path are fully described in the input schema. The tool description does not need to repeat parameter semantics. It adds only the general notion of applying the schema 'to a field,' which maps naturally to the path parameter. Baseline 3 is appropriate.

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: Get the effective JSON Schema for a field. It goes further by defining the key distinction from a plain static schema: the static schema overlaid with LIVE meta-derived constraints. This clearly differentiates the tool's purpose from siblings like get_field or get_spec.

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 explicitly tells the agent when to call this tool: check this BEFORE writing a value to learn what the reactive pipeline will accept, instead of discovering an invalid mutation by trying it. This is strong context, though it does not name specific alternative tools or exclusions, so it stops just short of perfect routing guidance.

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