list_projects
List public Raze project case studies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List public Raze project case studies.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It implies read-only and public access but does not disclose pagination, rate limits, or any potential side effects. Adequate for a simple list operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no redundancy. Every word contributes to understanding the tool's purpose. Front-loaded with the key action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless list tool with no output schema, the description sufficiently conveys the purpose. It could mention that it returns a list of case studies or whether it supports filtering, but given simplicity, it is nearly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters (100% coverage). Since there are no parameters, the description naturally adds no parameter information beyond what the schema provides. Baseline 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List public Raze project case studies' clearly states the verb (list) and the specific resource (public Raze project case studies). It distinguishes from sibling 'get_project' which likely retrieves a single project.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'get_project' or other listing tools. It does not mention prerequisites, limitations, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of Raze's public information or booking functionality. There is no overlap; booking, pricing, projects, resources, and services are clearly separated.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_available_slots, list_projects). This makes it easy for an agent to predict tool behavior.
With 10 tools, the server covers the main public-facing aspects of Raze (booking, pricing, projects, resources, services) without being overly heavy or thin. Each tool serves a clear purpose.
The tool set provides comprehensive coverage for a company site: booking lifecycle (including slot checking and creation), pricing, project case studies (list and detail), resources, and services. No obvious gaps for the intended public interaction.