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WhaleCupl

ai-daily-insights-mcp

by WhaleCupl

Get one issue (structured)

get_article

Retrieve a daily AI news issue parsed into structured items with index, title, signal, and body by specifying a date in YYYY-MM-DD format.

Instructions

Fetch a single daily issue by date, parsed into structured news items: each item has index, title, signal (the one-line judgment) and body. Date format: YYYY-MM-DD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesIssue date, e.g. 2026-06-24.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the output structure (index, title, signal, body) and date format, but does not mention side effects, permissions, or error handling. This is adequate for a simple fetch operation but lacks depth.

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?

The description is two sentences long, front-loads the key action and output structure, and contains no unnecessary words. Every sentence adds value.

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?

Given the simple single-parameter nature and no output schema, the description adequately explains the input format and output structure. It does not cover error cases or mention rate limits, but for a straightforward fetch tool the completeness is good.

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?

The schema description coverage is 100%, so baseline is 3. The description adds a redundant date format hint and context about the output, but does not significantly enrich the parameter meaning beyond what the schema already provides with pattern and description.

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

Purpose5/5

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

The description clearly states the verb 'Fetch' and the resource 'single daily issue by date', and specifies the output as structured news items with fields. It distinguishes from siblings like get_latest and get_range by focusing on a single issue retrieved by date.

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?

The description implies usage for retrieving a single issue by a specific date, but it does not explicitly discuss when to use this tool versus alternatives like get_latest or search. The context is clear but lacks explicit guidance on exclusions.

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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