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trace_fullstack_path

Trace the full dependency chain from a frontend component through API routes to the corresponding SQLAlchemy database model.

Instructions

Traces fullstack dependency chain across Frontend, API Routes, and SQLAlchemy ORM models.

Returns the complete path: Frontend component -> API Route handler -> Database Model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
repo_pathNo
symbol_or_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 explains what the tool returns but does not mention whether it modifies state, requires authentication, handles large repos, or what happens if targets are not found.

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 concise and front-loaded with the core purpose. Every sentence adds value without repetition or unnecessary detail.

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?

The description covers the basic return structure but lacks guidance on parameter usage, error handling, or performance implications. Given the complexity of tracing fullstack dependencies and having zero annotation coverage, more detail is needed to be complete.

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 description coverage is 0%, so the description should clarify parameter meanings. The description mentions a 'target' concept but does not explain the roles of target, repo_path, or symbol_or_path, nor how they interact. With multiple optional parameters, the semantics are ambiguous.

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 tool traces a fullstack dependency chain across Frontend, API Routes, and SQLAlchemy ORM models, specifying the resources involved and the return path format. This distinguishes it well from siblings like get_route_contract or get_stack_health.

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?

No guidance is provided on when to use this tool versus alternatives such as get_route_contract or verify_schema_change. The description does not indicate what input is needed or prerequisites like a valid repo path.

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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