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GonzaloTorreras

ai-dememory

Durable Provenance Status

memory.provenance_status
Read-only

Audit durable memories for reviewed provenance metadata. Check the provenance status to ensure memory integrity.

Instructions

Audit durable memories for reviewed provenance metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuesYes
issue_countYes
generated_atYes
durable_countYes
Behavior2/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, and the description 'audit' aligns with read-only behavior. However, the description adds no additional behavioral context (e.g., what the audit entails, scope, or response format).

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, front-loaded with the action. Every word contributes to the purpose, though it could be marginally longer to clarify terms like 'reviewed provenance metadata'.

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

Completeness3/5

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

Given the tool has no parameters and an output schema exists, the description provides the core action. However, it does not explain what 'reviewed provenance metadata' means or how to interpret results, leaving some ambiguity for a user unfamiliar with the domain.

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

Parameters4/5

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

The tool has zero parameters, so the description does not need to add parameter meaning beyond the schema. Baseline of 4 applies as no parameter details are required, and the description is sufficient in this regard.

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 clearly states the tool audits durable memories for reviewed provenance metadata, with a specific verb and resource. However, it does not explicitly distinguish itself from sibling status tools like memory.acceptance_status, though the focus on provenance is implied.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It lacks context about prerequisites, scenarios, or exclusions, leaving the agent to infer usage from the purpose alone.

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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