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fenbs-ai

fenbs-mcp

Official

fenbs_search

Search tasks across every board your token can access by keyword; use this fenbs-mcp tool from MCP clients, CI, servers, or containers without a browser.

Instructions

Search tasks across every board you can see.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the permission-bounded scope ('every board you can see'), but says nothing about read-only nature, pagination/result caps, matching semantics (substring vs full-text), or what fields are searched.

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?

One short, front-loaded sentence with no filler. Brevity is a virtue here, though it is arguably terse rather than complete.

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?

For a search tool with no annotations, no output schema, and an undocumented query parameter, the description should explain matching behaviour and result limits. It leaves the agent unable to predict what a call returns.

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

Parameters2/5

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

The single required parameter 'q' has 0% schema description coverage and the description never mentions it. 'Search' implies a query string, but format, operators, and matching behavior are left entirely to inference.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb+resource ('search tasks') and adds scope ('across every board you can see'), which distinguishes it from the single-board fenbs_list_items. It does not explicitly name that sibling or what 'search' matches, but the intent is unambiguous.

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 gives no when-to-use or when-not guidance and names no alternative, despite fenbs_list_items and the various list_* tools existing as candidate alternatives. The scope phrase implies a use case but stops short of routing the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.