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PROMPTEYE-SP-Z-O-O

prompteye-mcp

Official

List the categories the project files prompts under

list_categories
Read-only

Retrieve every category in the active project, two levels deep, with parent IDs and source labels showing AI-proposed or manually created entries.

Instructions

Every category of the active project, two levels deep: a subcategory carries the id of its top-level category in parentId, which is null on a top-level one, and source says whether PromptEye proposed it (ai) or it was written by hand (manual).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.22
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": false,
      +  "properties": {
      +    "data": {
      +      "items": {
      +        "additionalProperties": false,
      +        "properties": {
      +          "id": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "parentId": {
      +            "description": "The category this one sits under. null = top-level.",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "source": {
      +            "description": "ai = proposed by PromptEye, manual = written by hand.",
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "name",
      +          "parentId",
      +          "source"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "data"
      +  ],
      +  "type": "object"
      +}
  2. First observedv1.0.5

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds meaningful domain behavior: two-level hierarchy, parentId semantics, and source values ai/manual. It does not cover auth or rate limits, but with annotations covering safety, this is useful context.

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?

A single front-loaded sentence that conveys hierarchy depth, parent linkage, and source provenance without waste.

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?

For a zero-param read-only list with an output schema, the description supplies the key domain context needed to interpret results. It omits pagination or active-project prerequisite, but those are minor given the simple contract.

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?

There are zero input parameters, so the baseline is 4. The description appropriately does not invent parameter semantics.

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?

Names the resource and scope (every category of the active project, two levels deep), but does not include an explicit verb and does not differentiate from siblings like create_category or list_prompts.

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 explicit when-to-use or when-not-to-use guidance; the agent must infer that this is the read operation for categories. No alternative tool is mentioned.

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