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paulieb89

PyP6Xer MCP Server

pyp6xer_relationship_analysis

Read-onlyIdempotent

Analyze schedule relationship types, lag/lead distribution, and logic density. Identifies counts by relationship type, lag distribution, and activities lacking logic ties.

Instructions

Analyse relationship types, lag/lead distribution, and logic density.

Reports counts by type (FS/SS/FF/SF), lag distribution, and activities with no logic ties.

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 declare read-only, non-destructive, idempotent behavior. Description adds value by specifying output details (counts by type, lag distribution, activities with no logic ties), reinforcing safe analysis nature.

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 front-loading purpose and output summary, with no redundant or irrelevant content.

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?

Annotations and schema cover safety and parameters. Description explains what is reported, and output schema exists to detail return format. Complete for a read-only analysis 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?

Schema coverage is 100% with clear parameter descriptions. Description adds no additional parameter information beyond the schema.

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?

Description clearly states verb 'Analyse' and specific resources: 'relationship types, lag/lead distribution, and logic density'. This distinguishes it from sibling tools like critical path or float analysis.

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?

Description implies usage for relationship analysis but lacks explicit when-to-use or when-not-to-use guidance. No mention of alternative tools.

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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