Skip to main content
Glama
Cerios-TechLab

Quality Transformation Coach Assistent MCP server

Generate Quality Report

generate_quality_report

Generate a Markdown quality report for a project with test coverage, maturity scores, and CI/CD success rate to identify gaps and drive improvements.

Instructions

Generate a comprehensive Markdown quality report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoReporting period (e.g., 'last-30-days', 'Q3-2026')last-30-days
projectYesProject name
coverage_pctNoOptional test coverage percentage
maturity_scoresNoOptional maturity scores by area
cicd_success_rateNoOptional CI/CD pipeline success rate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only states that the output is a Markdown report; it does not say whether the tool reads external data, whether it has side effects, what inputs drive the report, or what the report contains beyond 'quality'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence with no filler or repetition. It is concise and front-loaded, though the brevity comes at the cost of missing important usage and behavioral details.

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?

Despite having full schema coverage and an output schema, the description is too thin to fully orient an agent among many similar analysis tools. It does not clarify what distinguishes a 'quality report' from the outputs of sibling tools, what data is required, or what reporting period semantics are expected.

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?

The input schema already documents all five parameters with descriptions and defaults, so schema coverage is 100%. The tool description adds no parameter-specific meaning, which is acceptable but does not go beyond the structured information.

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 clear verb and resource: it generates a Markdown quality report. However, it does not differentiate this from sibling tools like maturity_assessment or quality_recommendations, so an agent may struggle to know which tool is the right one for a given task.

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?

There is no guidance about when to use this tool versus any of the 13 siblings. The description does not mention prerequisites, typical scenarios, or exclusions, leaving the agent to infer the tool's purpose from the name and schema alone.

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