tldr_text
[AI] Summarize raw text you pass in directly (not a URL). length: short|medium|long. Costs $0.005. Use summarize_url when you have a URL instead.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| length | No |
[AI] Summarize raw text you pass in directly (not a URL). length: short|medium|long. Costs $0.005. Use summarize_url when you have a URL instead.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| length | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses the cost ($0.005) and input format (raw text, not URL). Does not mention rate limits or auth, but for a simple summarization tool, this is adequate.
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?
Description is one sentence with two brief appended notes. No wasted words; front-loads the core purpose and key details efficiently.
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?
Given the tool's simplicity (2 params, no output schema), the description covers purpose, usage, cost, and sibling alternative. Leaves no obvious gaps for an agent to invoke the tool correctly.
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 description coverage is 0%, so description should compensate. It adds meaning for 'text' by clarifying it's raw text passed directly, and for 'length' it restates the enum. Minimal additional value beyond schema, but parameters are self-explanatory.
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?
Clearly states it summarizes raw text passed directly, with verb 'Summarize' and resource 'raw text'. Also distinguishes from sibling summarize_url by specifying 'not a URL'.
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?
Explicitly tells when to use (raw text) and when not to (use summarize_url for URLs). Also explains the length parameter options: short|medium|long. Provides clear context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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