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DataSnack overnight

overnight
Read-onlyIdempotent

What DataSnack's agents did last night: rounds run, model changes kept and rejected, the biggest miss, where DataSnack and the market differ most, and the scoreboard.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "overnight"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
urlYesThe canonical datasnack.ai page for this answer
as_ofNoWhen the data was last worked on (RFC 3339), if known

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds that the content is a retrospective of the prior night's agent activity, which tells the agent the data is historical rather than live. It does not disclose whether the report is regenerated, cached, or how stale it can be.

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 front-loaded sentence with a colon-delimited enumeration of report sections — dense but every item earns its place by previewing the payload. No filler or repetition.

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 zero parameters and an output schema present, the description only needs to say what the report covers, which it does thoroughly. The one gap is the unexplained relationship between the 'scoreboard' section here and the sibling scoreboard tool, which an agent may reasonably wonder about.

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 nothing for the description to disambiguate, and schema coverage is 100%. Baseline 4 applies.

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 the resource concretely by enumerating the report's contents: rounds run, model changes kept/rejected, biggest miss, market divergence, and the scoreboard. An agent can tell this is a nightly digest rather than a raw model query. It stops short of 5 because it does not explicitly frame the verb (retrieve a report) or disambiguate from the sibling 'scoreboard' tool, which appears to be both a sibling name and a section of this output.

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, no mention of freshness/update timing beyond 'last night', and no routing to alternatives such as scoreboard or calibration for a single metric. The agent must infer that this is the catch-up/summary call.

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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