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The Daily Markdown

section

The ranked stories of one Daily Markdown section: x (X posts linked from Hacker News, then Bluesky and Mastodon posts), github, infrastructure (data centers, power, chips and what tokens cost), models.

Input Schema

NameRequiredDescriptionDefault
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, but it only describes content composition (e.g., x contains X posts linked from Hacker News, then Bluesky and Mastodon posts) rather than operational traits like read-only nature, pagination, return format, or rate limits. It adds some ordering context for one section but leaves core runtime behavior undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loads the main resource, but it is a sentence fragment with a long parenthetical list rather than a clean verb-first statement. It is adequately sized but not structurally strong for an agent scanning multiple tool definitions.

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 one-parameter retrieval tool with no output schema, the description conveys the returned data and section choices. However, it omits sibling differentiation and any note about return shape or usage boundaries, so it is minimally complete rather than fully self-sufficient.

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 description coverage is 0%, so the single enum parameter relies on the description for meaning. The description explains what the 'x' and 'infrastructure' values cover, adding useful context beyond the raw enum values, but gives no explanation for 'github' or 'models'.

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?

The description names a specific resource, 'the ranked stories of one Daily Markdown section,' and enumerates the four section values. It stops short of naming siblings like front_page or trending_topics, so an agent cannot tell from this text alone why it should choose section over those.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of the sibling tools front_page or trending_topics. The agent must infer entirely from the tool name and the section list that this is the retrieval path for a single named section.

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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