[AI] AI summary of a public webpage (fetch + extract + summarize). length: short|medium|long. Costs $0.01.
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"url": "<url>"
},
"name": "summarize_url"
}
}| Name | Required | Description | Default |
|---|---|---|---|
| url | 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 cost ($0.01) and process steps, but lacks info on error handling, rate limits, response format, or behavior for large pages. Adequate but incomplete.
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 packs essential info: purpose, process, parameter hint, cost. No fluff, front-loaded with the main action. Every word earns its place.
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 2 params, no output schema, and no annotations, the description is too minimal. It omits output format, error cases, privacy implications, and does not compensate for lack of structured metadata.
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 coverage is 0% with no parameter descriptions. Description partially compensates by mentioning the 'length' enum values (short|medium|long) but does not explain the url parameter beyond 'public webpage'. Meaningful detail is insufficient.
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 explicitly states the tool's purpose: 'AI summary of a public webpage (fetch + extract + summarize)' with clear verb and resource. It distinguishes from siblings like tldr_text (text input) and web_extract (no summarization) by specifying the full pipeline.
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?
No guidance on when to use vs alternatives. While it implies for web page summaries, it does not mention when not to use (e.g., for non-public pages, or when text direct input is preferred). No exclusions or sibling comparisons.
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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