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GonzaloTorreras

ai-dememory

Manual Acceptance Packet

memory.acceptance_packet
Read-only

Generate an acceptance review packet for pull requests, bypassing manual report writing and evidence recording.

Instructions

Render the manual acceptance review packet without writing reports or recording evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
pr_urlNo
reviewerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
limitYes
totalYes
offsetYes
pr_urlYes
completeYes
has_moreYes
markdownYes
reviewerYes
next_offsetYes
report_pathYes
writes_filesYes
blocked_countYes
mutates_systemYes
returned_countYes
completed_countYes
remaining_countYes
records_evidenceYes
writes_acceptance_recordsYes
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description reinforces that no writing occurs, but adds no additional behavioral details beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is a single 12-word sentence, making it short but lacking structure. It front-loads the main purpose but omits parameter details and usage context, reducing informational density.

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 an output schema and simple read-only behavior, the description partially covers intent but leaves gaps in parameter semantics and usage guidance. It is minimally adequate but not comprehensive.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the four parameters (limit, offset, pr_url, reviewer). The agent must infer meaning, which is insufficient for correct invocation.

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?

Description clearly states the tool renders a manual acceptance review packet without writing reports or recording evidence. It uses a specific verb 'render' and identifies the resource, distinguishing from sibling tools that write or record.

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 usage (render only, no writing), but lacks explicit when-to-use or when-not-to-use compared to alternatives like memory.acceptance_verify or memory.acceptance_plan. It does not mention prerequisites or context for invocation.

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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