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why_connected

Find how two concepts are related by returning connections between the best match for each term. Use this to discover associations between any two ideas stored in memory.

Instructions

Find how two concepts are related, returning any connections between the best match for each term. Only live entries are returned; use forgotten or whats_stale if something seems missing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoOptional domain to scope the search
from_labelYesLabel or description of the first concept
to_labelYesLabel or description of the second concept
Behavior4/5

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

No annotations, but description explains it returns connections for best matches and only live entries. Could mention more about return format or error handling, but sufficient.

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 main purpose, second provides usage guidance. No redundant information.

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

Completeness4/5

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

With no output schema, description adequately describes return as 'any connections between the best match for each term'. Mentions alternatives for missing entries.

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 coverage is 100% with descriptions for all three parameters. Description adds no additional meaning beyond schema.

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 what it does: find how two concepts are related by returning connections between best matches. Distinguishes from siblings like forgotten and whats_stale.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool versus alternatives: only for live entries; suggests forgotten or whats_stale if something seems missing.

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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