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Station Info

station_info
Read-onlyIdempotent

Station metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
station_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoRaw text response from API
formatNoIndicates response is plain text (non-JSON)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "station_id": "SHA"
      +  },
      +  {
      +    "station_id": "ORO"
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "description": "Response from CDEC API containing station metadata or raw text",
      +  "properties": {
      +    "body": {
      +      "description": "Raw text response from API",
      +      "type": "string"
      +    },
      +    "format": {
      +      "description": "Indicates response is plain text (non-JSON)",
      +      "enum": [
      +        "text"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

D1.9/5.0
Behavior2/5

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

The description adds no behavioral context beyond what the annotations already declare (readOnlyHint, idempotentHint, etc.). It does not mention return format, pagination, or any special behavior. The annotations cover safety, but the description contributes nothing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two words, but this is under-specification rather than effective conciseness. It lacks a full sentence and any useful structure, providing no meaningful information to the agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although the output schema exists and the tool is simple, the description is too minimal to be complete. It does not explain the tool's role, what 'station' refers to, or how the returned metadata could be used. The description fails to provide sufficient context for reliable tool selection.

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

Parameters1/5

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

With 0% schema description coverage, the description carries the full burden for parameter semantics, yet it says nothing about the 'station_id' parameter. There is no explanation of what IDs are valid, how to obtain them, or what the parameter represents.

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

Purpose2/5

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

The description 'Station metadata' is essentially a restatement of the tool name/title 'Station Info' with no action verb. It does not specify what operation is performed (e.g., retrieve, list, get) and does not distinguish this tool from any siblings.

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 guidance on when to use this tool or when to consider alternatives. The description provides no context, prerequisites, or exclusions, leaving the agent to guess the intended use case.

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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