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Trending Now

Daily trend digest for a niche

trending_digest
Read-onlyIdempotent

Use this when the user wants a daily digest or content ideas for a niche, such as "give me today's AI digest" or "content ideas for marketing". Pass niche (ai, developer-tools, startups, marketing, ecommerce, security; leave it out for everything) and optionally limit. Returns the top posts of the last 3 days that are still on their sources' lists, the top 5 for each source, rising keywords, post counts per niche and a link to the digest page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMost posts returned (default 20)
nicheNoOne niche; leave it out for everything

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
pageYes
as_ofYesWhen the sources were last read
nicheYes
postsYes
titleYes
nichesYes
statusYes
sourcesYes
not_readYes
by_sourceYes
rising_keywordsYes
posts_consideredYes
untrusted_sourceYes
keywords_baselineYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower, yet the description adds real behavioral context: a 3-day recency window, filtering to posts 'still on their sources' lists', and a top-5-per-source cap. It does not clarify how the limit interacts with the per-source cap.

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?

A single dense sentence front-loads the usage trigger, then parameters, then return shape in that order. Every clause carries information; nothing is padding.

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?

With an output schema present, the description need not enumerate return fields, so the return summary is bonus rather than necessity. Usage, allowed niche values, optionality, and recency/filtering behavior are all covered; the only residual gap is ambiguity between limit and the per-source top-5 cap.

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 100%, so both parameters are already documented, including the enum values and the 'leave it out for everything' semantics. The description mostly restates those facts and omits limit's default of 20 and maximum of 40, adding no syntax or format meaning beyond the schema.

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?

It states a concrete verb and resource ('a daily digest or content ideas for a niche') and enumerates the returned artifacts (top posts, rising keywords, post counts, digest link). It never names or contrasts with the sibling 'trending' tool, so an agent cannot distinguish the two from the description alone.

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 gives explicit trigger conditions with verbatim user phrasings ('give me today's AI digest', 'content ideas for marketing'), which is strong activation guidance. It stops short of saying when NOT to use it or which sibling to pick instead, so no alternatives are offered.

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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