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digest

Read-onlyIdempotent

The agentic-web daily digest as structured data. Input: date (YYYY-MM-DD, default latest), or list: true for the index of every published date. Returns headline, lede, items (title, body, why_it_matters, kind, related standards, and the sources each item rests on, labelled VERIFIED or REPORTED), the day's measured stats (adoption and grade changes across a fixed panel of domains re-checked daily, fastest-growing repositories, MCP Registry activity) and how it was made. Every number in an item appears in a source it cites. Human version: https://agenticweb.wiki/digest/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoYYYY-MM-DD or latest (default)
listNotrue: the index of published dates instead of one digest

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description goes further by disclosing provenance guarantees ('Every number in an item appears in a source it cites'), the VERIFIED/REPORTED trust labelling, that stats come from a fixed panel re-checked daily, and that methodology is included — real behavioral context beyond the annotations.

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?

It is front-loaded with the one-line purpose, then input options, then the return contract, which is the right order. The enumeration of returned fields is long, but since there is no output schema it largely earns its place; the trailing human-URL aside is the only mildly expendable element.

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 no output schema, the description carries the full return-value burden and does so: it lists headline, lede, item fields, stats panels, and methodology. It stops short of covering edge cases such as what happens for an unpublished date, which keeps it from a 5.

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% and both parameters are already documented there, including the 'latest (default)' semantics and the list:true meaning. The description largely restates these ('date (YYYY-MM-DD, default latest)', 'list: true for the index of every published date'), adding only mild clarification, which lands at the baseline 3.

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 first sentence names a specific resource ('agentic-web daily digest') and the form it takes ('structured data'), and the rest enumerates the exact payload shape an agent can expect. The purpose is unambiguous, though it never names or contrasts a sibling such as 'search' or 'get', which would have fully earned a 5.

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

Usage Guidelines3/5

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

Usage is only implied: the description explains that you pass a date or list:true, so an agent can infer 'call this to read the digest for a day'. There is no statement of when to prefer this over 'search', 'get', or the other siblings, nor any when-not condition or prerequisite.

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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