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K-Jadeja

@kjadeja/open-featurebase-mcp

by K-Jadeja

find_featurebase_user

Search Featurebase boards to find user IDs by matching a partial name (min 2 chars) in post authors and recent comments.

Instructions

Look up user IDs by partial name match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPartial name to search for, case-insensitive. Minimum 2 characters to avoid matching everything on boards with common one-letter fragments (e.g. 'a' would otherwise surface every user with 'A' in their name). Scans post authors and the comment threads of the N most recent posts with comments. Example: 'Krishna' returns 'Krishna - Remalt Dev' if they've posted or commented on the board.
sampleSizeNoHow many recent posts with comments to scan for comment authors. Default 5 (cached comments make this cheap). Set to 0 to skip comment scanning — only post authors will be returned. Max 20.
Behavior2/5

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

With no annotations, the description carries the full burden. It only states the basic function, omitting behavioral details like case-insensitivity, scanning scope, or what sampleSize does. The schema provides details, but the description itself is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, no fluff. It is appropriately sized for the tool's simplicity, though could slightly expand on behavior.

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?

Lacks return value information (no output schema). Given the tool's simplicity and sibling context, it is incomplete for an agent to fully understand the outcome.

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 baseline 3. The description does not add meaning beyond the schema; both parameters are fully described in the schema, so no extra value from the description.

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 uses a specific verb ('look up') and resource ('user IDs') with a clear method ('partial name match'). It distinguishes itself from sibling tools, which all relate to posts.

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 user ID lookup without explicit guidance on when to use versus alternatives. Since all siblings are post-related, context is clear, but no exclusions or when-not-to-use are stated.

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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