Skip to main content
Glama

get-prompt

Retrieve specific MDMA prompts for authoring, reviewing, or fixing interactive Markdown documents with forms and approval gates.

Instructions

Returns a named MDMA prompt (mdma-author, mdma-reviewer, or mdma-fixer)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPrompt name: mdma-author, mdma-reviewer, or mdma-fixer
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool returns, without mentioning any behavioral traits such as whether it's read-only, has rate limits, requires authentication, returns structured data, or handles errors. For a retrieval tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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?

The description is extremely concise and front-loaded in a single sentence that directly states the tool's core function. Every word earns its place without any redundancy or unnecessary elaboration, making it efficient for quick comprehension.

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?

Given the lack of annotations and output schema, the description is incomplete for a retrieval tool. It doesn't explain what the return value looks like (e.g., prompt text, metadata, or structure), error conditions, or any behavioral context. The agent is left guessing about the output format and operational characteristics.

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

Parameters3/5

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

The schema description coverage is 100%, with the parameter 'name' fully documented in the schema as accepting one of three specific prompt names. The description adds no additional parameter semantics beyond what's already in the schema, such as format details or usage examples. With high schema coverage, the baseline score of 3 is appropriate.

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 tool's purpose with a specific verb ('Returns') and resource ('named MDMA prompt'), and identifies the three possible prompt names. However, it doesn't explicitly differentiate this tool from sibling tools like 'get-doc' or 'validate-prompt' that might also retrieve content, leaving some ambiguity about when to use this specific prompt-retrieval tool.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get-doc' or 'validate-prompt', nor does it specify any prerequisites, contexts, or exclusions for usage. The agent receives no help in choosing between retrieval options.

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/MobileReality/mdma'

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