Summarize a block of text into a short abstract, with an optional target length. No external API key required.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to summarize. | |
| max_words | No | Approximate maximum length of the summary, in words (default ~80). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations; description only adds 'No external API key required'. Lacks details on behavior with large texts, accuracy, or limitations.
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, concise, includes key info. Could be slightly more structured but effective.
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?
Simple tool with 2 parameters, but lacks output schema. Description doesn't specify return format, which is a gap for agent understanding.
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?
Schema covers 100% of parameters with descriptions. Description adds 'with an optional target length' but no extra meaning beyond schema.
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?
Description clearly states verb 'summarize' and resource 'block of text' and output 'short abstract'. Distinct from siblings like chat, classify, etc.
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?
Implied usage for summarization with optional length, but no explicit when-to-use or comparison with alternatives.
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 addresses a distinct task (chat, classify, embed, extract entities, summarize, transcribe) with no functional overlap. An agent can easily distinguish which tool to use for a given request.
All tool names use an imperative verb form (chat, classify, embed, extract_entities, summarize, transcribe). The pattern is consistent and intuitive, with only 'extract_entities' using an underscore but still following the verb_noun pattern.
Six tools is an ideal scope for a general AI toolkit, covering a broad range of common NLP tasks without being overwhelming. Each tool serves a clear purpose, and the count feels well-proportioned.
The tools cover essential AI capabilities: text generation, classification, embeddings, NER, summarization, and audio transcription. Minor gaps like translation or image analysis exist, but the set is comprehensive for core NLP tasks.