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safari_verify_state

Verify that an editor's internal state matches the expected value before submitting forms to prevent errors from unsynchronized data.

Instructions

Verify the framework-level state of an editor/input matches the expected value. Returns JSON {match, mode, actual, expected, hint?}. Modern editors (ProseMirror, Lexical, Closure, React-controlled inputs) maintain state separately from the DOM — .value or .textContent may show new text while the internal store still holds old data, so a Submit click sends stale data. Call this AFTER safari_fill and BEFORE clicking Submit on critical forms (Featured.com, LinkedIn share, Medium, Reddit).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
selectorYesCSS selector of the editor/input to verify
expectedYesExpected value or text fragment that should appear in framework state
Behavior4/5

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

With no annotations, the description fully explains the behavior: it checks internal framework state separate from DOM, warns about stale data, and describes the JSON return format. No contradictions.

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

Conciseness4/5

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

The description is well-structured and front-loaded with purpose. It is concise yet informative, though could be slightly tightened.

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?

The description covers the tool's purpose, usage context, behavioral details, and return format. Given no output schema, it adequately explains what the tool returns.

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?

Both parameters are fully described in the schema (100% coverage). The description adds minor context (e.g., 'value or text fragment' for expected) but does not significantly augment the schema.

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's purpose: verifying framework-level state of an editor/input against an expected value. It distinguishes itself from siblings by specifying its position in a workflow (after safari_fill, before Submit) and listing example sites.

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

Usage Guidelines4/5

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

The description explicitly provides usage context: when to call (after safari_fill, before Submit on critical forms) and example platforms. It does not explicitly state when not to use it, but the guidance is clear enough.

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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