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generate_digest

Generate a beautiful, shareable culture digest — a branded HTML report with a hero article, 2 supporting stories, and a closing quote. Looks like a premium newsletter. Perfect for agents to forward to their owner via Telegram, email, Slack, or any messaging platform. Returns HTML that renders beautifully anywhere. REQUIRES SUBSCRIPTION — call the 'subscribe' tool first to unlock this feature.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoTime window for articles7d
categoryNoCategory focus for the digestall
agent_nameNoYour agent name — appears in the digest header so your owner knows who curated it

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses a key constraint (subscription required), a dependency (call subscribe first), and the output behavior (returns HTML). It does not cover edge cases like error behavior or rate limits, but the disclosed subscription requirement and output format are sufficient for a non-destructive generation tool.

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?

The description is well-structured: what it does, what it returns, when to use it, and what it requires. It is mostly efficient, but phrases like 'Looks like a premium newsletter' and 'renders beautifully anywhere' partly repeat the idea of a 'beautiful, shareable culture digest,' adding mild redundancy.

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 tool with no output schema, the description sufficiently explains the return value (HTML), the internal structure of the digest, and the required prerequisite. Combined with fully documented parameters and clear sibling separation, an agent has everything needed to select and invoke the tool correctly.

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?

The input schema already documents all three parameters with clear descriptions, so schema coverage is 100%. The description adds no parameter-level detail beyond the schema, but it provides useful context about how the output is meant to be used. Per the baseline, a 3 is appropriate when the schema carries the semantic load.

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 action ('Generate a beautiful, shareable culture digest'), specifies the exact composition ('hero article, 2 supporting stories, and a closing quote'), and clarifies the output format ('branded HTML report'). This clearly differentiates it from sibling tools like get_culture_news or search_articles, which retrieve raw content rather than producing a formatted digest.

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?

The description provides clear context: this is the right tool when an agent wants to forward a polished digest to its owner via messaging platforms. It also flags a prerequisite ('call the subscribe tool first'), which is valuable routing information. However, it does not explicitly state when to prefer a sibling tool such as get_culture_news for raw article retrieval.

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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