Skip to main content
Glama

get_summary_prompt

Retrieve custom instructions for summarizing podcasts to align with user preferences before generating episode summaries.

Instructions

Get the custom prompt/instructions for how to summarize podcasts. Read this before summarizing to follow the user's preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates this is a read operation ('Get'), which is useful, but doesn't disclose behavioral traits like authentication needs, rate limits, or error handling. The description adds some context about its role in summarization workflows, but lacks details on how it behaves beyond its basic function.

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 front-loaded and concise, consisting of two sentences that directly state the tool's purpose and usage. Every sentence earns its place by providing essential information without waste, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but has gaps. It explains what the tool does and when to use it, but lacks details on return values or behavioral aspects. For a read-only tool with no structured output, it meets minimum viability but could be more complete.

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 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is acceptable given the lack of parameters. A baseline score of 4 is appropriate as it doesn't need to compensate for any gaps.

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: 'Get the custom prompt/instructions for how to summarize podcasts.' It specifies the verb 'Get' and the resource 'custom prompt/instructions,' making it easy to understand what the tool does. However, it doesn't explicitly differentiate from siblings like 'save_summary' or 'get_transcript,' which slightly limits its clarity.

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 provides clear context for when to use this tool: 'Read this before summarizing to follow the user's preferences.' This implies it should be used as a prerequisite for summarization tasks. It doesn't explicitly state when not to use it or name alternatives, but the guidance is sufficient for effective usage.

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/walid-koleilat/mcp-podcast-scraper'

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