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earlyon-mcp

earlyon-mcp

by anaqi-blvl

get_status

Check data freshness and coverage for the EarlyON calendar, including last refresh time, earliest and latest dates, and recent refresh outcomes.

Instructions

Data freshness and coverage (last refresh, earliest/latest dates, recent refresh outcomes).

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden; it does disclose the informational nature of the response (refresh timestamps, date coverage, recent refresh outcomes), which implies a read-only metadata call. It stops short of stating there are no side effects, no cost, or that the tool does not itself trigger a refresh — a distinction that matters given refresh_now exists as a sibling.

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?

A single parenthetical sentence with no wasted words, and the core concept (freshness/coverage) is front-loaded before the detail list. It reads as a compressed fragment rather than a complete sentence, which costs a little clarity but nothing in length.

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?

Complexity is low (zero parameters) and an output schema exists, so return values need not be explained, and the description covers what the report contains. What is missing for completeness is the operational context: when to call it relative to refresh_now and whether checking status has any effect on the dataset.

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?

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. Nothing in the description is needed to clarify inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource it reports on (data freshness and coverage) and enumerates the contents (last refresh, earliest/latest dates, recent refresh outcomes), which is more specific than the bare name 'get_status'. However, it is a noun-phrase fragment with no verb, so it never states that the tool *retrieves a report*, and it does nothing to distinguish itself from adjacent siblings such as get_recent_changes or refresh_now.

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 at all: no statement about when an agent should check status versus calling refresh_now, and no mention that this is the natural pre-check before a refresh or before trusting a query's results. The agent must infer the workflow entirely from the sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.