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PROMPTEYE-SP-Z-O-O

prompteye-mcp

Official

List projects

list_projects
Read-only

Lists all projects you can access, newest first, with the access level. Use it to select a project before checking visibility, competitors, prompts, or sources.

Instructions

Every project the API key reaches, newest first, with the access the key has to each. A project is one brand tracked in one market, and it is the root of everything else PromptEye measures. Call this first, then select_project, before asking about visibility, competitors, prompts or sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.5

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only and open-world behavior. The description adds valuable behavioral context beyond those annotations: it returns every project the API key reaches, sorted newest first, and includes the key's access level. It stops short of mentioning pagination or exact return shape, but the additional context is meaningful.

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?

Three sentences, each earning its place: the first states core behavior, the second gives essential domain context, and the third provides invocation ordering. The primary function is front-loaded, and there is no filler or redundancy.

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?

For a zero-parameter, read-only list tool with no output schema, the description is complete: it states scope, ordering, access information, domain meaning, and the correct call sequence relative to siblings. An agent has enough information to invoke the tool and understand what it returns.

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 and 100% schema coverage, so the baseline is 4. The description adds no parameter-specific semantics because there are none to describe, and the schema fully covers the empty input.

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-resource pair: list projects scoped to the API key, with ordering and access level. It further distinguishes itself from siblings by explaining that a project is the root entity and instructing to call this before select_project, making its role unambiguous.

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

Usage Guidelines4/5

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

The description gives explicit usage context: call this first, then select_project, before querying visibility, competitors, prompts, or sources. It does not name excluded alternatives or say when not to use it, but the sequencing guidance is clear enough for an agent to invoke it correctly.

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