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cachly-dev

cachly — AI Cognitive Brain

fedbrain_contribute

Contribute a lesson to the global Knowledge Commons with a cryptographic knowledge certificate. Lessons with 10+ independent confirmations become Gold Standard.

Instructions

FedBrain (Layer 6): Contribute a lesson to the global Knowledge Commons with a cryptographic knowledge certificate. Certificate includes: domain fingerprint, confidence, outcome chain hash. Lessons with 10+ independent confirmations become Gold Standard. Context-weighted: other brains with similar tech stacks see your lesson ranked higher in fedbrain_search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesBrain instance ID
lesson_keyYesTopic key to contribute, e.g. "fix:clickhouse-ipv6"
visibilityNoVisibility (default: public)
Behavior3/5

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

No annotations provided, so description carries full burden. Mentions certificate details, Gold Standard, and context-weighting. Does not address idempotency, permissions, or whether overwriting occurs. Adequate but incomplete.

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?

Three sentences, front-loaded with purpose, no redundant information. Every sentence adds value.

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?

Explains certificate, Gold Standard, and context-weighting, but omits return values and behavior on duplicate keys. Without output schema, more detail expected.

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 has 100% coverage with descriptions for all 3 parameters. Description adds overall behavioral context but does not significantly enhance parameter-level understanding. Baseline of 3 is appropriate.

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?

Clearly states the tool's verb ('Contribute'), resource ('lesson to the global Knowledge Commons'), and adds unique details about the cryptographic certificate. Distinguishes from siblings like fedbrain_search and fedbrain_status.

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?

Describes when to use (to contribute a lesson with certificate) and provides context about Gold Standard and context-weighting. Lacks explicit when-not or alternatives, but context is clear.

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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