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K-Jadeja

@kjadeja/open-featurebase-mcp

by K-Jadeja

search_featurebase_posts

Search for feedback posts by keyword, matching titles and bodies. Finds relevant feature requests and user opinions quickly.

Instructions

Search posts by keyword over title + body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (1-50).
queryYesKeyword or phrase to search for. Matches against post titles (weighted 3x) and bodies (1x). Multi-word queries are tokenized.
Behavior3/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states the search scope (title + body), which is helpful, but does not explicitly indicate that the operation is read-only or describe any other behavioral traits. The weighting and tokenization details are in the schema parameter descriptions, but the tool description itself lacks transparency.

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, focused sentence with no filler or extraneous information. Every word contributes to the tool's purpose, making it highly concise and easy to parse.

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

Completeness3/5

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

For a simple search tool with a complete schema, the description covers the core purpose but omits contextual details like result format, sorting, or when to prefer this over other retrieval tools. It is minimally adequate but not fully comprehensive.

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 description coverage is 100%, so the baseline is 3. The tool description adds minimal context ('by keyword over title + body') beyond what the schema already provides (weighting, tokenization). Thus, it meets the baseline but does not significantly enhance understanding.

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 the action ('Search') and the resource ('posts'), and specifies the scope ('by keyword over title + body'). This effectively distinguishes it from sibling tools like list_featurebase_posts (which would list all) and get_featurebase_post (which retrieves by ID).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives (e.g., when to search vs list or get). There is no mention of prerequisites, context, or when not to use it, leaving the agent with insufficient decision-making 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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