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detect_cross_language_deps

Identify dependencies and communication patterns between multiple programming languages in polyglot projects, with options to filter by dependency type and confidence threshold.

Instructions

Detect cross-language dependencies and communication patterns in polyglot projects

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_confidenceNoMinimum confidence threshold (default: 0.3)
dependency_typesNoFilter by specific dependency types (optional)
include_confidenceNoInclude confidence scores in results (default: true)
Behavior2/5

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

Without annotations, the description should disclose behavior like whether this is a read-only analysis or if it modifies state. It only says 'detect', which is vague. The tool likely reads data, but it's not explicit.

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 a single, clear sentence with no unnecessary words.

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

Completeness2/5

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

The description fails to specify what the tool returns (e.g., a list of dependencies, a report). It also doesn't mention any prerequisites or project context needed. For a tool with no output schema, this is a gap.

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?

The input schema already provides full descriptions for all three parameters. The tool description adds no additional semantic information about parameters.

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

Purpose4/5

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

The description clearly states the tool detects cross-language dependencies and communication patterns, which is specific. However, there is a sibling tool 'detect_cross_language_apis' that likely overlaps; the description does not clarify the difference.

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?

The description provides no usage context or alternatives. Given the presence of a similarly named sibling, this is a significant omission.

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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