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trace_dependency

Identify all lessons that rely on a specific dependency, and optionally flag them for review to ensure updates are addressed.

Instructions

Causal Chain — find all lessons that depend on a given prerequisite. "What lessons are affected if node version changes?" When a dependency changes (new version, different provider, new OS), call this to see which lessons need review. Lessons store dependencies via the depends_on field in learn_from_attempts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesUUID of the cache instance
dependencyYesDependency to trace (e.g. "node:>=20", "docker:running", "wireguard:active")
mark_reviewNoIf true, marks all dependent lessons as needs_review (default: false)
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that mark_review can cause side effects and explains dependency storage, but lacks details on error handling, 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 short sentences with front-loaded purpose. No fluff; 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?

Description explains purpose and side-effect parameter but omits return value format. Without output schema, this is a gap. Adequate for basic use but not fully comprehensive.

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%, so parameters are well-documented. Description adds marginal context (example dependency pattern, default for mark_review) but does not significantly extend 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?

Description clearly states 'find all lessons that depend on a given prerequisite' and provides a concrete example. The tool name 'trace_dependency' aligns well. No sibling with identical function.

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?

Explicitly states when to use: 'When a dependency changes...call this'. Context is clear but does not mention alternatives or when not to use.

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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