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cachly-dev

Cachly — AI Cognitive Brain

fedbrain_search

Search the global commons with results weighted by tech-stack similarity. Matching domain context ranks higher, with certificate provenance and Gold Standard badges shown.

Instructions

FedBrain context-weighted search: Search the global commons, weighting results by tech-stack similarity. Brains with matching domain context (Go/Kubernetes/Postgres) rank higher than unrelated stacks. Shows certificate provenance, confirm_count, and Gold Standard badges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesBrain instance ID
queryYesWhat to search for
context_hintsNoYour tech stack, e.g. ["go", "kubernetes", "postgres"]
limitNoMax results (default: 10)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions result features (badges, provenance) but lacks details on side effects, permissions, or rate limits.

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?

Two sentences: first states the purpose, second provides critical details on ranking and displayed information. No wasted text.

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?

Covers the search mechanism and output features, but without an output schema, the description should more thoroughly explain return format (e.g., pagination) and domain-specific terms like 'certificate provenance'.

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?

Schema coverage is 100%, and the description adds meaning by explaining context_hints as 'Your tech stack' and how weighting works, going beyond the schema's basic descriptions.

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 it is a 'FedBrain context-weighted search' that searches the global commons and ranks results by tech-stack similarity, distinguishing it from simpler sibling tools like brain_search.

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 when to use (context-weighted search) but does not explicitly state when not to use or provide alternative tools for simple searches.

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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