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paulieb89

PyP6Xer MCP Server

pyp6xer_generate_report

Read-onlyIdempotent

Generate a structured monthly progress report dataset with metrics including progress percentage, health score, critical path density, and earned value for schedule performance analysis.

Instructions

Assemble a complete monthly progress report dataset.

Returns structured metrics: progress %, health score, slipping activities, critical path density, and earned value. Use this data to write a monthly narrative with sections: Executive Summary, Schedule Status, Critical Path & Risks, and Outlook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cache_keyNoCache key identifying the loaded XER file (set when calling pyp6xer_load_file)default
proj_idNoProject ID or short name; uses first project if omitted

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds value by explaining the tool returns structured metrics and how to use them for narratives.

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?

Two concise sentences that front-load the purpose and list key outputs. No unnecessary verbiage.

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 existence of an output schema and clear annotations, the description adequately explains the tool's purpose and output. However, it doesn't explicitly mention dependencies like the cache_key requirement, though this is covered in the schema.

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 additional meaning beyond the parameter descriptions already in the schema. 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 assembles a complete monthly progress report dataset and lists specific metrics (progress %, health score, etc.). This distinguishes it from sibling tools that focus on individual metrics.

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 guides use by specifying that the output is for writing a monthly narrative with sections. It implicitly suggests using this tool for consolidated reporting rather than individual metrics, but it could be more explicit about when not to use it.

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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