Skip to main content
Glama

ai_summarize

Summarize a URL or plain text using a free LLM. Pass either a URL or text, not both.

Instructions

Summarize a URL or plain text using a configured free LLM. Pass url OR text (not both). Plain text only — no code or secrets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoURL to fetch and summarize
textNoPlain text to summarize
Behavior3/5

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

No annotations provided, so description carries full burden. Mentions it uses a 'configured free LLM' and implies URL fetching, but does not detail limitations (e.g., content length, rate limits) or behavior on invalid inputs.

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?

Two sentences, front-loaded with action, no unnecessary words. Every sentence adds value.

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

Completeness4/5

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

For a simple tool with no output schema or annotations, the description is mostly complete. It could mention what the summary returns (e.g., a string), but the behavior is implied.

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?

Schema covers 100% of parameters with descriptions. The description adds mutual exclusivity constraint ('url OR text, not both') and a content restriction ('plain text only'), which add value beyond the schema.

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 clearly states the tool's purpose: summarizing a URL or plain text using a configured free LLM. It specifies input options (url or text, not both) and distinguishes from siblings by focusing on summarization.

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?

Explicitly states to pass url OR text (not both) and restricts to plain text only (no code/secrets). Provides clear context but does not explicitly compare to sibling tools or discuss when not to use.

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/basttran/ai-workers-mcp'

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