Skip to main content
Glama

list_prompts

Lists Vertex AI prompts filtered by display name. Specify project, location, and page size to retrieve matching prompts.

Instructions

Lists Vertex prompts matching a given display name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_sizeNo
project_idNo
location_idNo
display_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description carries full burden. It only states the basic list action and filtering, but does not disclose pagination behavior, authentication needs, or what happens if no prompts match. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks sufficient information. It could be more informative without sacrificing brevity.

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?

Despite having an output schema (so return format is covered), the description fails to explain pagination (page_size), project/location context, and the exact matching behavior. For a 4-parameter tool with no required fields, this is insufficient.

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

Parameters2/5

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

Schema coverage is 0%, so description must compensate. Only display_name is mentioned in the description, while page_size, project_id, location_id are left unexplained. No details on defaults or optionality.

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?

The description clearly states the verb 'Lists' and the resource 'Vertex prompts', with a specific filter criterion 'matching a given display name'. This distinguishes it from sibling tools like create, delete, read, etc., though it could be more precise (e.g., specify it's for Vertex AI Prompt Management).

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 guidance on when to use this tool versus alternatives or other list methods. Does not mention prerequisites, or when display name filtering is appropriate. Lacks usage context.

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/hzy9981/vertex-ai-mcp-bridge'

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