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oaslananka

health-monitor-mcp

by oaslananka

Register GitLab Pipeline

register_gitlab_pipeline

Register a GitLab CI/CD pipeline for health monitoring by specifying project, branch/tag, and token environment variable.

Instructions

Register a GitLab CI/CD project pipeline. GitLab.com is allowed by default; self-hosted HTTPS origins require HEALTH_MONITOR_GITLAB_BASE_URL_ALLOWLIST. Only the token environment-variable name is stored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoOptional branch or tag filter
nameYesUnique local name for this GitLab pipeline target
tagsNoTags for grouping
projectYesNumeric project ID or namespace/project path
base_urlNoGitLab HTTPS origin; self-hosted origins require HEALTH_MONITOR_GITLAB_BASE_URL_ALLOWLISThttps://gitlab.com
token_envNoEnvironment variable containing a GitLab token; the token value is never persistedGITLAB_TOKEN
check_interval_minutesNo
Behavior4/5

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

Annotations already declare this as a write (readOnlyHint=false) and non-destructive (destructiveHint=false) operation. The description adds valuable context: token values are not persisted (only the environment-variable name is stored) and self-hosted origins require HEALTH_MONITOR_GITLAB_BASE_URL_ALLOWLIST. This goes beyond the annotations to explain security-relevant behavior.

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 two short sentences: the first states the primary action, the second conveys constraints. It is front-loaded and contains no redundant words.

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?

Given the 7 parameters, high schema coverage, and absence of an output schema, the description is sufficiently complete. It covers the core purpose and key constraints, though it could briefly mention what registration implies (e.g., enabling monitoring), but the sibling check_gitlab_pipeline tool provides that 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 description coverage is 86%, so the schema already documents most parameters clearly. The description's mention that 'only the token environment-variable name is stored' reinforces token_env semantics but is also present in the schema. No additional parameter-level meaning is added, so the baseline score of 3 applies.

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's function with a specific verb ('Register') and resource ('GitLab CI/CD project pipeline'), distinguishing it from sibling registration tools (e.g., register_github_actions, register_http_target). It also notes the default GitLab.com behavior, adding scope.

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

Usage Guidelines4/5

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

The description gives clear context for when to use this tool: to register a GitLab pipeline for monitoring. It also provides important usage constraints (GitLab.com allowed by default; self-hosted origins require allowlist). It does not explicitly name alternatives, but the specificity makes the intended use obvious.

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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