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Alcove

Alcove

Official
by OctopusGarage
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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alcove_pin_render_html

Render a visual HTML board from your pins by specifying workspace, home, and output path.

Instructions

Render the pins HTML board.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "alcove_pin_render_html"
  }
}

Input Schema

NameRequiredDescriptionDefault
homeNo
workspaceNo
output_pathNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It states 'Render' but does not clarify whether this is a read-only operation, whether it writes a file (despite the 'output_path' parameter), or any side effects. This omission leaves significant behavioral ambiguity.

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

Conciseness2/5

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

The description is a single sentence, which is concise but critically under-specified. It front-loads the main action but fails to provide necessary detail about parameters, behavior, or output, making it inadequate for reliable tool use.

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

Completeness1/5

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

Given 3 undocumented parameters, no annotations, and a non-trivial operation (rendering HTML), the description is far too minimal. Even though an output schema exists, the lack of parameter explanation and behavioral context severely undermines the tool's usability. An AI agent cannot determine how to correctly invoke this tool.

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

Parameters1/5

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

The input schema has three parameters (home, workspace, output_path) with 0% description coverage. The description does not mention or explain any of these parameters, adding no meaning beyond the schema itself. The agent has no insight into what values are appropriate or how they affect rendering.

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 'Render the pins HTML board' uses a specific verb ('Render') and resource ('pins HTML board'), clearly distinguishing it from sibling tools like alcove_pin_add, alcove_pin_list, etc., which all have different actions. It effectively communicates the tool's core function.

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, such as alcove_pin_list or alcove_pin_search. There is no mention of prerequisites, expected context, or exclusions, leaving an AI agent without decision support for tool selection.

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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