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PROMPTEYE-SP-Z-O-O

prompteye-mcp

Official

List the PromptEye help articles

list_help_articles
Read-only

List all available PromptEye help articles to locate guides explaining features, settings, and common problems.

Instructions

PromptEye's own knowledge base (https://research.prompteye.com/help, index at https://research.prompteye.com/help/index.md): guides on how the product works. Call this FIRST whenever the user asks how something in PromptEye works, what a setting, score or feature means, how to connect or configure something, how to do something in the app — or reports a problem or something unexpected, such as getting the same report again, a report with no score or an email that did not arrive, which the guides usually explain — public reports, the report score, leads, projects made from reports, connecting a form, notifications, branding. Do not answer those from memory. Pick the article whose title fits, then read it with read_help_article.

This is documentation, not the user's data: for their visibility, prompts or competitors use the other tools. Every article has a page for people; give the user that link when you answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.20

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds useful behavioral context beyond annotations: this tool is documentation access, not user data access, every article has a human-facing page, and the agent should provide that link in its answer.

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 front-loaded with the key purpose and contains dense, relevant guidance. It is longer than necessary but every part earns its place by supporting routing decisions and downstream behavior.

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

Completeness5/5

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

Despite having no output schema, the description gives enough context for correct invocation: what the tool lists, where the index is, how to choose an article, what to do next, and what to return to the user. No critical operational gap remains.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description does not need to explain parameters, and it appropriately focuses on selection and usage rather than input semantics.

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 states a specific verb and resource: list PromptEye's help articles. It also distinguishes itself from read_help_article by instructing the agent to list first, pick an article, then read it with the sibling tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use guidance: call this FIRST for product how-to questions, settings, features, configuration, or unexpected behavior. It also gives an exclusion: for user visibility, prompts, or competitors, use other tools, and it names the next step (read_help_article).

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