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Junk Drawer MCP Server

Junk Drawer MCP Server

list_kinds

Lists the kinds of small household items tracked in the junk drawer, helping you see available categories for cataloguing or searching.

Instructions

The kinds of small things this drawer tracks.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden and supplies almost nothing: it does not say whether the list is static or reflects current contents, whether results are ordered, or how it relates to the drawer concept. The presence of an output schema relieves it of explaining return values, which keeps this above the floor.

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

Conciseness3/5

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

It is a single short sentence with no filler, but the brevity comes at the cost of substance rather than from efficient front-loading. It reads as an incomplete phrase rather than an action statement.

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?

The tool is simple (no params, output schema present), yet the core ambiguity — what constitutes a 'kind' and why one would call this instead of search or summary — is unresolved. For a zero-argument listing tool the bar is low, and the description still leaves the agent guessing.

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, so there is no parameter meaning to convey and the schema is fully self-describing. Baseline 4 applies; nothing in the description adds or detracts.

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

Purpose2/5

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

The text is a noun fragment ('The kinds of small things this drawer tracks') that essentially restates the tool name list_kinds rather than stating a verb and resource. An agent can guess it enumerates item categories, but nothing confirms what a 'kind' is or how it differs from siblings like list_by_room or summary.

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 when-to-use guidance, no exclusions, and no mention of any sibling tool. The agent is left to infer entirely from the name that this is the enumeration call rather than search or list_by_room.

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