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nampd3

Project Knowledge MCP Server

by nampd3

get_project_dependencies

Retrieve external service dependencies and database table dependencies for a GitLab project using its numeric project ID.

Instructions

Return the external service dependencies and database table dependencies for a project identified by its GitLab project ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gitlab_project_idYesThe numeric GitLab project ID of an in-scope project.
Behavior2/5

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

Without annotations, the description carries the full burden of behavioral disclosure, but it only states 'Return' without specifying side effects, authentication needs, or any constraints. This lack of detail is insufficient for a tool with no annotation support.

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, well-structured sentence that front-loads the action and resource. Every word is necessary, and there is no wasteful language.

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

Completeness4/5

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

For a simple one-parameter tool returning dependencies, the description is largely complete. It could briefly mention the return format but is sufficient for its complexity and the given context.

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 coverage is 100% and the description does not add meaning beyond the schema's own description of the parameter. Baseline score of 3 is appropriate as the schema already provides full parameter details.

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 returns external service and database table dependencies for a project identified by GitLab project ID. The verb 'Return' and specific resource are clearly defined, and it distinguishes from sibling tools like get_project_io or get_project_profile by focusing on dependencies.

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 on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent to infer usage from the name and description alone.

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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