analyze_dependencies

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

Annotations already mark the tool as read-only and non-destructive, but the description adds valuable behavioral context: no side effects, data source (GitHub REST API dependabot/alerts), auth requirements, rate limits, and return shape. No contradiction exists between the description and annotations.

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 front-loaded with the core purpose and then uses compact labeled bullets for side effects, data source, auth, rate limits, return shape, and usage guidelines. Every sentence adds useful information without redundancy.

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?

Despite lacking an output schema, the description explicitly states the return shape including fields like summary, severity, package_name, state, and html_url. It also covers auth, rate limits, and sibling tool exclusions, making it complete for an agent to invoke correctly.

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 67%, so the schema already documents most parameters. The description does not add parameter-level guidance, such as how the severity parameter filters results. It mentions severity only as a return field, which could be slightly ambiguous, so the description provides no meaningful parameter clarification beyond the schema.

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 opens with a specific verb and resource: 'Fetches Dependabot alerts for a GitHub repository to analyze vulnerable package dependencies.' It clearly distinguishes this tool from siblings like analyze_code_scanning by scoping it to vulnerable package dependencies rather than static code vulnerabilities.

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 description explicitly states when to use the tool ('ONLY to find vulnerable package dependencies') and when not to use it, naming alternatives: analyze_code_scanning for CodeQL and get_health_score for health grading. This provides unambiguous routing guidance.

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