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Stream briefing render events (SSE)

stream_briefing_render_events
Read-onlyIdempotent

Subscribe to real-time briefing-render events. Returns the SSE endpoint URL with the chosen filters as query params — the agent's MCP client should open it with EventSource (browser), httpx.stream / aiohttp (Python), or curl -N (CLI). Event types: briefing.rendered (daily-brief lands), declassified.published (new Declassified episode), persona_briefing.rendered (persona brief synthesised / audio rendered). Frame shape: {event_type, seq, slug, vertical, persona_slug, audio_url, published_at, metadata}. The endpoint replays the last ~1000 events on connect; a heartbeat is emitted every 30s. Public-anon read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
verticalNoOptional vertical filter.
event_typeNoOptional event_type filter.

TDQS

A4.4/5.0
Behavior5/5

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

Adds significant behavioral details: replay of last ~1000 events, 30s heartbeat, public-anon access, event frame shape. This complements annotations (readOnly, openWorld, idempotent) well.

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?

Front-loaded with purpose, then usage instructions, then event details. Slightly verbose but well-structured for an SSE tool.

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 streaming tool with no output schema, the description fully specifies event types, frame shape, replay behavior, and heartbeat, leaving no ambiguity for agent invocation.

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 covers 100% of parameters with descriptions and enums. Description mentions filters as query params but does not add extra meaning beyond schema.

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?

Clearly states 'Subscribe to real-time briefing-render events' and describes the SSE endpoint purpose. Distinguishes from sibling tools as the only streaming subscription tool.

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?

Identifies when to use (real-time monitoring) and provides client examples (EventSource, httpx.stream, curl -N). No explicit when-not-to but context is clear given sibling tools are mostly read endpoints.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is overlap between `get_my_private_feed`, `subscribe_topic`, and `list_subscriptions`—all return or manage feed URLs, which could confuse an agent. Otherwise, categories like publisher, fund manager, and search tools are clearly separated.

Naming Consistency5/5

All tools use consistent snake_case with a verb_noun pattern (e.g., `get_article`, `search_articles`, `publisher_upload_audio`). Exceptions like `digest` are single-word verbs but still fit the pattern. No mixed conventions are present.

Tool Count2/5

With 37 tools, the server exceeds the 25-tool threshold considered 'too many' by the rubric. While the broad scope (news, podcasting, publishing, fund management, embedding) justifies a large surface, the count still adds cognitive load and would benefit from splitting into separate servers.

Completeness4/5

The tool set covers the major domains: search, retrieval, subscriptions, publishing, fund manager operations, and embedder network. Minor gaps exist, such as the absence of an unsubscribe or delete-episode tool, but the core workflows are well-supported and agents can accomplish most tasks.

Resources