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DrBoria

md-gitlab-mcp

by DrBoria

search_users

Find GitLab users matching a query. Paginate results with page and perPage to narrow down the right account.

Instructions

Search for users on GitLab

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch query for users
pageNoPage number
perPageNoResults per page

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations are absent, so the description must disclose behavioral traits itself. It only states 'Search for users on GitLab' with no mention of read-only semantics, pagination behavior, auth requirements, result limits, or search specificity, providing minimal behavioral insight.

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, front-loaded sentence with no filler or redundant phrasing. Every word contributes to the meaning, making it appropriately concise.

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 tool has no output schema and the description mentions no return format or matching semantics, leaving an agent uncertain about what results look like or how 'q' is matched. Given the available schema/annotations richness, the description is thin and incomplete for a three-parameter tool.

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?

Input schema has 100% description coverage for all three parameters (q, page, perPage), so the schema already conveys their meaning. The description adds no additional semantic detail beyond what the schema provides, matching the baseline 3.

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 states a specific verb and resource ('Search for users'), which clearly distinguishes it from sibling search tools like search_repositories and search_code by resource type. It does not elaborate on search scope (e.g., by username, name, or email), but the core purpose is unambiguous.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives is provided. Usage context is only implied by the resource name 'users' contrasted with sibling tools like search_repositories and search_issues, earning an implied-usage score.

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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