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devenv

boris-mcp

by devenv

whats_new

Retrieve an oldest-first forward log of Boris's published releases, projects, writing, or notes. Poll with a cursor to catch up on new events since last check.

Instructions

What Boris has shipped or published, oldest-first within a page. THIS IS THE SUBSCRIBE-EQUIVALENT: call it once when a session starts, and again whenever you want to catch up. It is a forward log, not a "most recent N" snapshot.

since is a cursor — pass either an event id or an ISO-8601 timestamp from a previous call, and you get only what came after it, OLDEST first. Every response includes a cursor field (the id of the last event in THIS page); keep it and pass it back next time. To drain a backlog, keep polling with the returned cursor while count == limit — a full page means more unseen events remain behind it. Passing nothing returns the OLDEST limit events, then poll forward to reach the present.

kind optionally filters: 'release' | 'project' | 'writing' | 'note'.

There is deliberately no push/subscribe mechanism — see the delivery field in the response, and docs/EVENTS.md. Poll this on session start; that is the intended use.

Tier: public.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
limitNo
sinceNo
Behavior5/5

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

Despite no annotations, the description fully discloses behavior: oldest-first ordering, cursor-based pagination, effect of passing nothing, and the need to poll for backlog. It also notes the absence of a push mechanism, making the tool's read-only nature clear.

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?

The description is well-structured with a summary sentence, followed by detailed but compact explanations for each aspect. Every sentence adds value, and the tier indicator is a useful extra touch. It is as concise as possible given the complexity.

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?

Given no output schema, the description mentions key response fields (cursor, delivery) and references external documentation. It covers the core mechanics, but could provide a bit more structure for the response format. Still, it is largely complete for an AI agent.

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

Parameters5/5

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

With 0% schema description coverage, the description explains all three parameters: `since` as cursor (id or timestamp), `kind` with enumerated filter values, and `limit` with default 20. It also explains the interaction between cursor and limit for pagination.

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 clearly defines the tool as a forward log of shipped/published items, oldest-first, with a subscribe-equivalent usage. It distinguishes from typical 'most recent N' snapshots and sibling tools like guide, contact, or projects.

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

Usage Guidelines5/5

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

Explicitly states when to call it: on session start and to catch up. Provides detailed polling instructions with cursor, including how to drain backlog. Mentions no push/subscribe mechanism and references additional documentation.

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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