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get_component_feedback

Get all feedback pins for a specific LWC component, returning element selectors, comments, thread history, and a plain-language summary.

Instructions

Get all feedback pins targeting a specific LWC component, with a plain-language summary ready for implementation. Returns element selectors, comments, and thread history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentNameYesLWC component name. e.g. "wmlHomePage", "wmlAgentSidebar", or "c-wml-home-page"
Behavior4/5

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

Without annotations, the description provides clear behavioral context: it retrieves feedback pins and returns element selectors, comments, and thread history. It does not mention destructive or mutating actions, which aligns with the tool's name. Minor gap: no disclosure of whether resolved pins are included.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that efficiently convey purpose, benefit, and return contents. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no output schema, the description explains the return value reasonably well. However, it could be more precise about the return structure (e.g., list of pin objects) and mention any default filters like status.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a clear description for componentName. The tool description reinforces that the parameter is the target component but adds no new semantic detail beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves feedback pins for a specific LWC component, with a plain-language summary. It distinguishes from siblings like get_actionable_pins and get_feedback_summary by specifying the component focus and the inclusion of a summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives such as get_actionable_pins or get_feedback_summary. The description implies it is for component-specific feedback but omits selection criteria or prerequisites.

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

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