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takeokunn

@takeokunn/metabase-mcp

by takeokunn

search_preview_embed_dashboard_param_values

Search and retrieve parameter values for a preview embedded dashboard in Metabase using a token, parameter key, and query.

Instructions

Search values for a parameter of a preview embedded dashboard in Metabase

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
Behavior2/5

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

With no annotations, the description carries the full burden. It fails to disclose behavioral traits: whether the operation is read-only, if authentication is required, or what happens on error. The brief description offers no insight into side effects or constraints.

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

Conciseness3/5

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

The description is very concise, consisting of a single sentence. While this is efficient, it lacks necessary detail to be useful. The structure is front-loaded with the verb, but the content is insufficient.

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

Completeness1/5

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

Given the complexity of a nested input object, no output schema, and no annotations, the description is severely incomplete. It does not explain the return value, usage pattern, or any constraints, making it inadequate for an AI agent to use correctly.

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?

Schema description coverage is 0%, and the description adds no information about the input parameters (token, param_key, query). The agent cannot infer what each parameter represents or how to use them, leaving a critical gap.

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 specifies the verb 'Search' and the resource 'values for a parameter of a preview embedded dashboard'. It clearly identifies the tool's action and target, but does not differentiate it from similar sibling tools like search_embed_dashboard_param_values or get_preview_embed_dashboard_param_values.

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 usage guidance is provided. The description does not indicate when to use this tool versus alternatives, such as fetching all parameter values or searching in a different embedding context. There is no mention of prerequisites or context.

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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