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sync_collective_community_memory

Sync local mistake autopsies and best practices to a global GitHub repository, giving new developers access to collective AI wisdom.

Instructions

Syncs local learned mistake autopsies and best practices with the global community GitHub repository so new developers automatically benefit from collective AI wisdom.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auto_anonymizeNoStrips all private keys, URLs, and personal identifiers before syncing (default: true)
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the core action (syncing to a global GitHub repo) and mentions the anonymization parameter, but it does not explicitly warn about potential data exposure, irreversibility, authentication requirements, or whether it also pulls from the remote. It implies a one-way push ('so new developers automatically benefit') but leaves ambiguity about bidirectional sync, and does not disclose any side effects beyond the act of syncing.

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 a single, concise sentence that front-loads the action and purpose without any filler. Every word is useful, and it is appropriately sized for a simple tool with one parameter. It earns its place with no redundancy.

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?

For a tool with no annotations and no output schema, the description is moderately complete: it explains the core purpose and implies external write action. However, it lacks important operational context such as prerequisites (e.g., existence of local autopsies), potential side effects (data becomes public), return value on success/failure, and any authentication or network dependencies. These gaps are significant for a tool that pushes data to a public repository.

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?

The input schema already documents the sole parameter 'auto_anonymize' with a clear description (e.g., stripping private keys, URLs, personal identifiers) and default true. Since schema coverage is 100%, the description adds no additional meaning about the parameter, which is acceptable per the baseline. The description does not need to repeat parameter details when the schema already covers them.

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 clearly states the verb ('Syncs'), the resource being synced ('local learned mistake autopsies and best practices'), and the target ('global community GitHub repository'), making the purpose specific and distinguishable from sibling tools like log_mistake_autopsy (local logging) and get_community_wisdom_report (pulling wisdom). It fully conveys what the tool does.

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 explicit guidance on when to use this tool versus alternatives, such as after logging mistakes or before generating reports. It only implies the purpose of sharing for community benefit, but does not state prerequisites, exclusions, or conditions that select this tool over others. For example, it does not clarify whether it should be used only after local autopsies exist or how it relates to other memory operations.

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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