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Bike4Mind — the open-core AI workbench

list_products

Read-only

Every product in the Bike4Mind ecosystem (Bike4Mind itself, Bedrock News, K2Kanji, Stocks and Vibes, Bob, 4XCiv, Paintbox, Overwatch, Tarot, Manifold, Fleet) plus Friends of Bike4Mind, products other people built with it (tier 'friend', with a creator): name, one-line tagline, status (live, beta or in development), category, public URL where there is one, and the bike4mind.com page for each. Filter by category or status.

Input Schema

NameRequiredDescriptionDefault
statusNo
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds useful content context (the enumerated product list) but discloses nothing about pagination, result size, or return format — though for a read-only list those gaps are modest.

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 middle of the first sentence is a long parenthetical enumerating eleven product names plus a second clause about Friends — much of it catalog data the agent will receive at call time. This bloats the definition and buries the actionable instruction at the end.

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 simple two-enum, zero-required filter tool with no output schema, the description covers enough to call it. However, it omits result-field guarantees and pagination behavior, and spends its length on non-essential enumeration instead of those operational details.

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?

Schema description coverage is 0% and both params are enums, so the description does work by naming the filterable fields and their domain ('category or status'). It even foreshadows the domain values via 'live, beta or in development', though it never states that filters are optional/AND-combinable.

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?

States a clear verb (list) and resource (products), and enumerates what a product record contains. It distinguishes itself from the singular sibling get_product by implying a collection view, but never explicitly contrasts with get_product, so it falls short of a full 5.

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?

The closing sentence 'Filter by category or status' implies when the tool is useful (browse/filter the catalog), but there is no explicit when-not-to-use or pointer to getting a single product via get_product. Usage is inferable but not spelled out.

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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