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Bike4Mind — the open-core AI workbench

whats_new

Read-only

Dated product updates from Bike4Mind and its products (Paintbox, Tarot, Stocks and Vibes, Bedrock News, K2 Kanji, Manifold, Fleet, Overwatch, Bob), newest first. Each entry is one sentence with a kind (feature, art or fix), a product tag, and any screenshots or demo videos as absolute media URLs. Filter by product slug and/or a start date; omit both for the latest updates.

Input Schema

NameRequiredDescriptionDefault
limitNomax entries (default 10, max 50)
sinceNoonly entries on or after this day, YYYY-MM-DD
productNoproduct slug, one of: bike4mind, paintbox, tarot, stocks-and-vibes, bedrock-news, k2kanji, manifold, fleet, overwatch, bob, 4xciv, one-more-road

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

readOnlyHint=true already establishes the safe read profile, so the description's job is lighter. It adds real behavioral value anyway: ordering (newest first), the shape of each entry (one sentence, a kind of feature/art/fix, a product tag, media as absolute URLs), which matters because there is no output schema. It does not discuss limits or truncation behavior.

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 tightly packed sentences: the first front-loads what the resource is and its ordering, the second covers entry structure and filtering. No filler sentences or restated boilerplate.

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

Completeness5/5

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

For a three-optional-parameter, read-only listing tool with no output schema, the description covers purpose, ordering, return shape, and filter semantics. Nothing an agent needs in order to call it correctly is missing.

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 coverage is 100%, so the baseline is 3. The description goes beyond the schema by explaining how the parameters interact ('and/or', and that omitting both returns the latest updates), which is semantic guidance the field-level descriptions do not provide on their own.

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

Purpose5/5

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

The description states a specific resource (dated product updates / changelog entries) with explicit scope: Bike4Mind plus all its named products, ordered newest first. It also describes what each entry contains, which implicitly separates this from siblings like get_blog_post or list_products that cover different content types.

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

Usage Guidelines4/5

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

It tells the agent exactly how to select results: 'Filter by product slug and/or a start date; omit both for the latest updates.' That covers the combining logic and the no-filter default. It stops short of naming an alternative tool or a when-not-to-use case, so it is clear context rather than full routing guidance.

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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