analyze_dependencies

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

With no annotations, the description is the only source of behavioral information, yet it only says 'get' without addressing authentication, rate limits, pagination, or what the returned alert data looks like. The read-only nature is lightly implied but not substantiated.

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?

The description is a single front-loaded sentence with no filler. It communicates the core operation and resource efficiently.

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?

For a simple read tool with only three parameters, the basic invocation context is present. However, the lack of an output schema, annotations, and any mention of response shape or severity filtering behavior leaves the description only minimally complete.

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?

The description does not add meaning beyond the input schema; repo and owner are already documented, and severity is left to its enum values. Since schema coverage is only 67% and there is no compensating parameter detail in the description, this is a gap.

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 uses a specific verb and resource, 'Get Dependabot alerts for a GitHub repository,' which clearly identifies the operation. It also distinguishes the tool from the sibling analyze_code_scanning, since dependency alerts and code scanning alerts are different outputs.

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?

The use case is implied: an agent should call this when it needs Dependabot alerts for a repo. However, there is no explicit when-to-use or when-not-to-use guidance, and no mention of alternatives such as analyze_code_scanning or get_repo_health.

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