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Mesoscale Discussions

mesoscale_discussions
Read-onlyIdempotent

Recent mesoscale discussions list (as text page).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesHTML content of recent mesoscale discussions (max 30000 chars)
formatYesResponse format

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / limit
      Removed value: -{
      -  "type": "number"
      -}
  2. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "limit": 10
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "body": {
      +      "description": "HTML content of recent mesoscale discussions (max 30000 chars)",
      +      "type": "string"
      +    },
      +    "format": {
      +      "description": "Response format",
      +      "enum": [
      +        "html"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "format",
      +    "body"
      +  ],
      +  "type": "object"
      +}
  3. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare the tool read-only, idempotent, and non-destructive; the description adds the behavioral detail that the output is rendered 'as text page', which is useful. However, it does not disclose pagination limits, number of items, or any other operational behavior. With strong annotation coverage, this is acceptable but not rich.

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 entire description is a single short phrase with no filler words. Every word contributes meaning, and the parenthetical 'as text page' adds format context without bloat. It is concise and front-loaded.

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?

The description is minimal but sufficient for a simple list tool with no parameters and an output schema present. It lacks any usage context, such as what mesoscale discussions are or how 'recent' is defined, but the output schema and sibling tools could fill that gap. Given the simplicity and strong annotations, the description is adequate but not comprehensive.

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 has no parameters, and the schema is empty, so there is no parameter semantics to clarify. The description correctly implies a zero-input list operation. Baseline score of 4 applies due to the absence of parameters.

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 clearly states it returns a list of recent mesoscale discussions, presented as a text page. The verb 'list' implies retrieval and the resource is specific, distinguishing it from sibling tools like convective_outlook or storm_reports. However, it lacks an explicit verb like 'get' or 'fetch'.

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?

The description gives no guidance on when to use this tool instead of alternatives like convective_outlook or watches_active. No contextual cues indicate the appropriate use case or any exclusions. The only hint is 'recent', but no temporal scope is defined.

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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