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The Wiley Rule (public data)

Key upcoming dates

key_dates
Read-onlyIdempotent

Upcoming dates that matter: DEA orders, NC votes, federal comment deadlines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is fully covered by structured data. The description adds domain scope (which kinds of dates count as key), which is useful context. It does not disclose coverage window, ordering, or freshness — moderate added value, hence a 3.

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 sentence, front-loaded with the core noun phrase 'Upcoming dates that matter' followed by the discriminating examples. No filler, no restatement of the title or annotations.

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 zero-param, read-only tool with no output schema this is close to adequate, and the category examples give a good sense of scope. It is missing the temporal window (how far ahead), whether results are ordered chronologically, and how curation works — minor but real gaps for a 'dates' tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters with a well-formed empty schema, so there is nothing for the description to disambiguate. Per the rubric, a 0-parameter tool has a baseline of 4; the absence of any argument syntax is consistent with that.

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 clear resource (upcoming dates) and enumerates the content categories that define it: DEA orders, NC votes, federal comment deadlines. That is concrete and non-tautological. It stops short of explicitly distinguishing itself from adjacent siblings like latest_news or bill_status, which could also surface time-sensitive items.

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 implied by the category list — an agent can infer 'call this when the user needs upcoming deadlines' — but there is no explicit when-to-use statement, no prerequisites, and no named alternative to prefer instead. The guidance is left to inference.

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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