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LiLara-AI

ShadowGraph

Official

shadowgraph_redact

Read-onlyIdempotent

Generate a redacted export of store data, replacing secret-like keys and values with placeholders to prevent secrets from appearing in audit trails or shared files.

Instructions

Return a redacted copy of the store export, with secret-looking keys and values replaced. shadowgraph_backup writes an unredacted snapshot to disk, shadowgraph_purge actually removes data. Reads only, writes no file, and redacts journal payloads too, so a secret cannot survive in the audit trail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoLimit the export to one project. Omit to redact everything.
patternsNoCase-insensitive regular expressions matched against key names, replacing the default set (password, secret, token, api[-_]?key, authorization, private[-_]?key). Supplying this replaces the defaults rather than adding to them; idempotency keys, evidence references, and signatures are always redacted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
factsYesObserved facts with their provenance claims.
eventsYesCompatibility event log.
journalYesThe append-oriented journal.
recordsYesDecisions, attempts, and memories.
revisionYesConcurrency token of the state this export was taken from.
relationsYesRelationships.
journalSeqYesHighest journal sequence issued.
idempotencyYesRetry-key entries, each { key, value }.
journalEpochYesFirst replayable sequence, or null when nothing is replayable.
reviewSignalsYesPersisted review signals.
schemaVersionYesStorage schema version of this export.
Install Server

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the annotations already declaring readOnlyHint=true and idempotentHint=true, the description adds concrete behavioral guarantees: no file is written, and journal payloads are also redacted so secrets cannot survive in the audit trail. This is meaningful context that annotations alone do not provide.

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?

The description is compact, front-loaded with the core purpose, and every sentence adds value: purpose, sibling contrast, and behavioral guarantees. There is no filler or repetition of schema-only details.

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

Completeness5/5

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

For a 2-parameter, no-required-parameter tool with an output schema, the description is complete: it states the operation, differentiates from destructive and backup siblings, and discloses the critical journal-redaction behavior. Nothing necessary for correct invocation is missing.

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 description coverage is 100%, so the schema already documents both parameters and the default pattern set. The description adds the general notion of 'secret-looking keys and values' but does not significantly extend the parameter semantics already present in the input 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 uses a specific verb ('Return') and resource ('redacted copy of the store export'), and immediately differentiates itself from shadowgraph_backup and shadowgraph_purge. An agent can tell exactly what the tool does without opening the schema.

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 clearly positions the tool as a safe, non-writing alternative to shadowgraph_backup and shadowgraph_purge, and states that it reads only and writes no file. It does not explicitly enumerate all when-not-to-use scenarios, but the contrast with the two most relevant siblings provides clear routing guidance.

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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