generate_dependency_matrix

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

No annotations provided; description carries full burden. Only states it generates a matrix as a table, but does not disclose read-only nature, performance implications, or what exactly the matrix captures. Output schema may help but is not referenced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise with two short sentences. Front-loaded with the main purpose; no wasted words.

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

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

Given output schema exists, return structure is covered. However, description lacks context about matrix scope (direct vs transitive dependencies), file format, and whether prior scan is needed. Adequate but has gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so description compensates by explaining 'path' as 'Proje kök dizini' (project root directory), adding semantic meaning beyond the schema's bare title 'Path'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states it generates a dependency matrix as a table, which is a clear verb and resource. However, it does not explicitly differentiate from sibling tools like get_dependency_graph or find_circular_dependencies.

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

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

No guidance on when to use this tool versus alternatives such as get_dependency_graph or analyze_impact. No context on prerequisites (e.g., whether a project must be scanned first).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.