classify
Assign a URL or title to a predefined taxonomy category to organize bookmarks for search and retrieval.
Instructions
Classify a URL/title into the bookmark taxonomy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| title | No |
Assign a URL or title to a predefined taxonomy category to organize bookmarks for search and retrieval.
Classify a URL/title into the bookmark taxonomy.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| title | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only states 'classify' without explaining side effects, errors, or state changes, leaving significant ambiguity.
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?
The description is concise but overly brief, lacking structure and detail. It front-loads the purpose but sacrifices completeness.
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?
For a simple tool with 2 parameters and no output schema, the description is adequate but incomplete. It fails to mention return values or any constraints.
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?
Parameter names (url, title) are self-explanatory, but the description adds little beyond what the names imply. Given 0% schema description coverage, the description barely compensates.
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?
The description clearly states the action (classify), the resource (URL/title), and the target (bookmark taxonomy), which distinguishes it from sibling tools like search or extract_content.
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 this tool versus alternatives (e.g., search or extract_content). No prerequisites or when-not-to-use information.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/NirussVn0/AI-Bookmark-MCP'
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