Skip to main content
Glama
shanewiseman

paperclip-mcp

by shanewiseman

Preview a decision training snapshot

pc_post_companies_by_company_id_decision_training_preview

Preview a decision training snapshot for a company using a source (interaction, approval, or execution decision) and issue ID to test processing before proceeding.

Instructions

Preview a decision training snapshot

Paperclip operation: POST /api/companies/{companyId}/decision-training/preview. Authorization class: board_or_agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
headersYes
encodingYes
status_codeYes
content_typeYes
Behavior2/5

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

The description does not disclose behavioral traits beyond annotations. 'Preview' implies a read-only operation, but annotations set readOnlyHint=false, creating ambiguity. No side effects, idempotency, or error behavior are mentioned.

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 concise (two sentences) and front-loaded with the core purpose. The second sentence adds technical details that may be less useful but are not excessive.

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?

The description lacks context: no mention of output, prerequisites, or how this preview relates to the broader decision-training workflow. Despite having an output schema, the description adds no completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate, but it provides no information about parameters (sourceKind, sourceId, issueId). The agent gets no hints about their meaning or constraints beyond the schema structure.

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 'Preview a decision training snapshot,' which is a specific verb+resource combination. This distinguishes it from the related 'pc_post_companies_by_company_id_decision_training' tool that creates a snapshot.

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?

The description provides no guidance on when to use this tool versus alternatives, such as the create snapshot endpoint. It only includes technical details (paperclip operation, auth class) without explaining the preview's role in the workflow.

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/shanewiseman/paperclip-mcp'

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