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paulieb89

PyP6Xer MCP Server

pyp6xer_load_file

Read-onlyIdempotent

Loads a Primavera P6 XER file into memory for analysis, supporting local paths, URLs, or base64 content. Stores results under a cache key for concurrent schedule access.

Instructions

Load a Primavera P6 XER file into the analysis cache.

Accepts a local file path, an HTTP/HTTPS URL, or a base64-encoded string of the file's binary content. The loaded data is stored under cache_key so multiple schedules can be open simultaneously.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cache_keyNoCache key identifying the loaded XER file (set when calling pyp6xer_load_file)default
file_pathNoLocal file path or HTTP/HTTPS URL to the XER file
file_contentNoBase64-encoded XER file bytes (for direct uploads from Claude/ChatGPT)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description adds useful caching behavior: data stored under cache_key and multiple schedules allowed. Annotations declare idempotentHint=true and destructiveHint=false, which align. Lacks mention of overwrite behavior when cache_key already exists.

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 brief paragraphs with no wasted words. First sentence captures the primary action. Clearly structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Describes input sources and caching but omits critical usage constraints: at least one of file_path or file_content is required (mutual exclusivity not clarified). No mention of error scenarios or file size limits.

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 100%, so baseline is 3. Description summarizes the three input options but adds no new semantic details beyond the schema parameter descriptions.

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 verb 'Load' and the resource 'Primavera P6 XER file' with specific input formats. It distinguishes from sibling tools that operate on already-loaded data.

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?

The description implies this is the initial step before analysis, but does not explicitly state when to use this tool versus alternatives like pyp6xer_get_upload_url. No guidance on prerequisites or mutual exclusivity of parameters.

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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