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Glama

damn

Control and observe a Minecraft/Fabric bridge via MCP, enabling AI agents to perform actions with evidence-driven verification.

Instructions

daniel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. Whether this mutates state, requires auth, or blocks is entirely unknown.

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?

One word is not conciseness but under-specification; the text is not front-loaded because there is nothing to front-load. It fails the standard applied to similarly empty definitions.

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?

Even though an output schema exists and reduces the need to explain return values, the description gives an agent zero basis to invoke the tool correctly. A name-only string is completely inadequate regardless of schema richness.

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

Parameters4/5

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

The tool takes zero parameters, and the rules set a baseline of 4 when there are no parameters to document. There is nothing the description could add about inputs, though its silence on the output schema's contents is unhelpful.

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

Purpose1/5

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

The description is the single word "daniel", which conveys no verb, resource, or purpose whatsoever. It does not distinguish this tool from any of the ~60 siblings, several of which also have opaque names.

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

Usage Guidelines1/5

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

There is no indication of when to use this tool, when not to, or which sibling it replaces. An agent has no basis to choose it over mine_quantity, eta, or any other sibling.

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