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MCP Vibe Coding Tools

MCP Vibe Coding Tools

by ammilam
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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gcloud_bq_show

View details of a BigQuery dataset or table by specifying the resource in project:dataset or project:dataset.table format.

Instructions

Show details about a BigQuery dataset or table

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "resource": "<resource>"
    },
    "name": "gcloud_bq_show"
  }
}

Input Schema

NameRequiredDescriptionDefault
resourceYesResource to describe (format: 'project:dataset' or 'project:dataset.table')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It does not disclose whether the operation is read-only, what happens if the resource doesn't exist, or any authentication/rate-limit implications. The description is too brief to be transparent.

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?

The description is one concise sentence, front-loaded with the verb and resource. It is efficient with no wasted words, though it could be slightly expanded to include more context without losing conciseness.

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?

Given the lack of annotations and output schema, the description is insufficient. It does not explain the return format, error handling, or how to distinguish dataset vs table details. The tool is simple but the description lacks completeness for effective agent use.

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 provides 100% coverage for the single parameter 'resource', including a clear format suggestion. The description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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 action ('Show details') and the resource ('BigQuery dataset or table'). It distinguishes from sibling tools like gcloud_bq_query (which runs queries), gcloud_bq_ls (which lists), and gcloud_bq_mk (which creates).

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?

No guidance is provided on when to use this tool versus alternatives (e.g., bq_ls for listing, bq_query for querying). The description is purely declarative without any usage context or 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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