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Verify web fix against recorded flow

web_fix_verify
Destructive

Verifies a stored pre-fix reproduction through adaptive bounded attempts, returning verified, failed, or inconclusive evidence to confirm whether a fix resolves the issue.

Instructions

Verify a stored pre-fix reproduction with adaptive bounded attempts and return verified, failed, or inconclusive evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYes
scenarioIdYes
buildReferenceNo
requestedLevelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
errorNo
warningsYes
artifactsYes
Behavior3/5

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

The description adds behavioral context beyond the annotations by mentioning 'adaptive bounded attempts' and the classification of evidence into verified/failed/inconclusive. However, despite destructiveHint=true, it does not disclose what state changes or potential destruction might occur during verification.

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 a single concise sentence with no filler or redundancy. It front-loads the core action and resource, then adds useful behavioral and outcome details, though the phrase 'stored pre-fix reproduction' is somewhat dense.

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

Completeness2/5

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

Given 4 parameters, a nested object, an enum, destructive annotations, and 12 siblings, the description is too thin to fully guide correct invocation. The output schema covers return structure, but parameter semantics and usage context are critically missing.

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

Parameters1/5

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

Schema description coverage is 0% and the description compensates by naming no parameters or their meanings. Required parameters like sessionId and scenarioId, plus optional ones like buildReference and requestedLevel, remain unexplained; even 'adaptive bounded attempts' is not tied to requestedLevel.

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

Purpose4/5

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

The description uses a specific verb ('Verify'), a clear resource ('a stored pre-fix reproduction'), and names the three possible outcomes: verified, failed, or inconclusive evidence. This clearly communicates the core purpose, though it does not explicitly contrast it with sibling tools.

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

Usage Guidelines3/5

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

The description implies the tool is meant to be used when a pre-fix reproduction is stored and a fix needs verification, but it provides no explicit when-to-use guidance or exclusions. It does not mention alternatives or conditions that would route the agent to a sibling tool like web_replay_seek or web_debug_control.

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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