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Unfactory

What people wish for most

most_wished
Read-only

The things Unfactory members wish for most, and whether they can be made yet. Wishes many people share get made first.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: results include a feasibility/makeability status and are ordered by how widely the wish is shared. It does not say how many wishes are returned or whether the list is paginated, which matters more here because there is no output schema to fill the gap.

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?

Two sentences, no filler, and the core subject is front-loaded in the first clause. The second sentence is short and earns its place by explaining ordering. Only minor imprecision ('the things ... wish for most') keeps it from being maximally tight.

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

Completeness3/5

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

For a zero-argument read tool with no output schema, the description is the sole source of return-value information, and it covers the two key fields (the wish and its makeability) plus ordering. It omits result volume, pagination, and whether wishes appear with vote counts or metadata, which leaves an agent guessing about the shape of the response.

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 the baseline is 4 and there is nothing for the description to disambiguate. The schema is an empty object with full coverage, leaving no semantic gap.

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?

The description names a specific resource — the wishes Unfactory members share most — and adds a second dimension, whether each can be made yet. That distinguishes it from siblings like my_wishes or add_wishes, which are personal rather than aggregate. It stops short of naming an alternative outright, but the resource is unmistakable.

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?

Usage is only implied: an agent can infer this is for browsing trending/popular wishes rather than recording or tracking one's own. There is no explicit when-to-use statement and no routing to alternatives such as find_makeables or my_wishes. 'Wishes many people share get made first' explains the ranking, not the selection criteria for calling it.

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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