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Retrieve evidence and diagnose empty results

Choose a suitable retrieval route and distinguish missing evidence from broken extraction or ignored filters.

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What you need

A known source or query, required fields, a working fetch tool and access appropriate to the source.

Why these fit together

Response inspection chooses the route; diagnostics explain empty bodies; filter tests prevent false absence; stored responses make later parsing reproducible.

Follow this order

  1. Choose HTML extraction or a JSON API

    Choose extraction from the actual response format.

  2. Diagnose an empty scrape before giving up

    Inspect response evidence before declaring content absent.

  3. Validate API filters before trusting absence

    Prove filtering and pagination before interpreting absence.

  4. Retain raw API responses for later parsing

    Persist source responses for inspection and later parsing.

Give this task to your AI

Use the Retrieve evidence and diagnose empty results workflow. My task and inputs are supplied below. Read the prerequisites and check your available tools. Follow the core steps in order, passing the actual output of each step to the next. Adapt installation and commands to this environment; do not copy another agent's configuration blindly. If a required tool or input is missing, identify it before that step. Run the completion check and report observed results and unresolved work.

Setup to provide or build

One supported HTTP/fetch client, stored response fixtures, a retrieval receipt schema and pagination handling. Private search is an optional runtime.

Check the result

Known positive and negative cases behave differently; ignored filters, navigation shells and access failures produce distinct receipts.

Curated implementation workflow. End-to-end execution must be verified in your environment.

Optional additions

Load these only when your task needs them.

Start with a free reusable skill