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ContextBolt

ContextBolt Bookmarks

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search_bookmarks

Search your saved bookmarks from X, Reddit, LinkedIn, and the web using natural language queries to find relevant content.

Instructions

Semantic search across your saved bookmarks from X, Reddit, LinkedIn, and the web.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural-language search query.
limitNoMaximum results to return (default 10).
platformNoOptional source filter, e.g. 'twitter', 'reddit', 'linkedin', 'web'.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It describes the tool as performing 'semantic search,' which is clear but lacks details on whether it is read-only, expensive, or what the response format is, leaving moderate gaps.

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?

The description is a single clear sentence that is front-loaded and contains no unnecessary words.

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

Completeness2/5

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

The tool lacks an output schema, but the description does not explain what the search returns (e.g., a list of bookmarks with metadata). Given the simplicity of the tool, this is a notable omission, especially for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already describes all parameters. The description does not add additional meaning beyond the schema, so baseline 3 is appropriate.

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 'Semantic search across your saved bookmarks' with a specific verb and resource, and distinguishes from sibling tools like get_recent_bookmarks and get_cluster_bookmarks by emphasizing semantic search and platform sources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for searching bookmarks semantically but does not provide explicit guidance on when to use versus alternatives like get_recent_bookmarks or get_cluster_bookmarks, nor does it mention 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.

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