Skip to main content
Glama
gasconc

Pylon MCP Server

by gasconc

pylon_create_issue

Create a new issue in Pylon with configurable title, body, priority, assignee, tags, and custom fields.

Instructions

Create a new issue in Pylon.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for the issue
stateNoState of the issue
titleNoTitle of the issue
priorityNoPriority of the issue
body_htmlYesHTML body of the issue message
account_idNoAccount ID to associate with the issue
assignee_idNoUser ID to assign the issue to
custom_fieldsNoCustom fields for the issue
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely restates the action 'create' without explaining side effects, permissions, required fields, or what the response will be. This is essentially a tautology and provides no transparency beyond the tool name.

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, efficient sentence with no filler or redundancy. It is concise and front-loaded, though it is under-specified rather than appropriately sized.

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?

With no annotations, no output schema, and a bare description, the tool lacks contextual completeness. The schema documents parameters, but the description does not explain when to use the tool, what the created issue entails, or what to expect in return. It is too minimal for a create operation with 8 parameters.

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 all 8 parameters having descriptions. The description adds no additional meaning beyond the schema, so the baseline score of 3 applies.

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 clearly states the action ('Create') and the resource ('a new issue in Pylon'). It is a specific verb+resource combination that distinguishes it from sibling tools like update_issue or list_issues, though it doesn't elaborate on what constitutes an issue.

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?

No guidance is provided on when to use this tool over alternatives. There is no mention of prerequisites, contexts, or exclusions, and sibling tools like pylon_update_issue or pylon_search_issues are not referenced.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gasconc/pylon-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server