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BACH-AI-Tools

Power Assist MCP Server

isstring

Validate a value to determine if it is a string type. Use to confirm data types for reliable data processing.

Instructions

Validates whether a supplied value is of type String.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full behavioral burden. It states the core validation purpose but does not disclose return type (e.g., boolean), edge cases (null, empty string, non-primitive values), or error behavior. For a simple predicate, this is acceptable but still leaves key behavioral details implicit.

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 description is a single, concise sentence that front-loads the primary purpose. Every word earns its place, with no wasted text.

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?

The tool is extremely simple with no parameters, no output schema, and no annotations. The description adequately conveys the tool's purpose, though it could be slightly more complete by explicitly noting the return value (e.g., 'returns true if the value is a string'). For its complexity, this is nearly complete.

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 zero parameters, and the schema is empty. Per the rubric, a baseline of 4 applies since no parameter semantics are needed. The description adds no parameter information, but none is required.

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 tool's function with a specific verb and resource: 'Validates whether a supplied value is of type String.' It is unambiguous and distinct from sibling validation tools like isarray, isobject, isnumber, and isnullorempty by explicitly targeting String type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage as a type-checking predicate but does not explicitly state when to use it versus alternatives or provide exclusions. It is easy to infer, but no direct guidance is given.

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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