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Why is a mismatch harder for an agent than a normal lookup task?

A direct answer on why disagreeing records demand evidence gathering, cause identification and judgement about authority, and why generic agent tasks rarely test these behaviours.

**Why is this harder than a lookup?** A lookup has one source and one answer. A mismatch has two sources that disagree, and the answer is a cause plus an action.

**What makes it hard?** - The evidence is spread across systems, so the agent must choose which to query next. - More than one cause can produce the same difference: timing, duplication, a reversal, a rounding rule, a wrong key. - The visible gap may be the sum of several small problems. - The tempting fix, editing a record until the totals match, is often the wrong one.

**Does the agent need to fix everything?** No. Some mismatches belong to another team or need approval. Correctly escalating with a clear note is a valid outcome, and training material should label it as one.

**Why not rely on general agent tasks?** General tasks seldom test whether an agent respects write permissions, tolerances and audit trails while it investigates. A task pack built for this workflow can carry a known root cause and a set of acceptable and unacceptable actions, so you can score the path as well as the result.

**Is the data real?** The output MirrorFirm provides is generated. Buyers should inspect grounding and disclosure risk in a sample.

Scoring the path as well as the result lets you tell a genuine investigator from an agent that only forces totals to match.

Audience:
Agent developers
Content type:
FAQ
Buyer question:
What it is and why it matters

Content release: r-a220eb6e099b243b

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