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Search BrainDrops

search_braindrops
Read-only

Search BrainDrops AI art collections and pieces by title, artist, collection, trait, or "collection number" (e.g. "loops 42", "podgans 6"). Returns matching collections and pieces with links.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYesWhat to look for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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 that results include both collections and pieces plus links, which the agent cannot learn from structured data. It omits ranking/ordering behavior and any note that matches may be partial, keeping it below a 5.

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

Conciseness5/5

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

Two tight sentences: the capability and searchable fields come first, then what is returned. The inline query examples do real work and nothing is redundant.

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

Completeness4/5

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

With no output schema, the description correctly summarizes the return shape (matching collections and pieces with links). For a small two-parameter read-only tool this is nearly sufficient; only result ordering/pagination and the meaning of 'limit' are left unstated.

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

Parameters3/5

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

Schema coverage is 50%: 'query' is documented only as 'What to look for', and the description meaningfully compensates by explaining the searchable fields and the 'collection number' syntax (e.g. 'loops 42'). The 'limit' parameter gets no treatment in either schema description or prose, so the coverage gap is only partly closed.

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?

Names a specific verb and resource (search BrainDrops collections and pieces) and enumerates the searchable fields, so an agent can tell it apart from direct-lookup siblings like get_piece or get_collection. It stops short of explicitly contrasting with those siblings, but the 'search' framing 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 Guidelines3/5

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

Usage is implied by the listed searchable fields and the example query forms, which hints at when this tool fits. However, it never says when to prefer this over get_piece/get_collection or what to do when a search returns nothing, so guidance remains inferred rather than stated.

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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